publications.js

// Kevin Murphy publications. To add a paper, add an object at the top.
// peer: true = peer-reviewed. Edit freely.
//
// Optional "links": an array of related artefacts (video, code, slides, blog, ...),
// each { "label": "...", "url": "..." }. They render after the venue as small links.
//   "links": [ { "label": "video", "url": "https://youtu.be/..." },
//              { "label": "code",  "url": "https://github.com/..." } ]
window.PUBLICATIONS = [
    {
    "year": 2026,
    "peer": false,
    "title": "Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models",
    "authors": "Kevin Murphy",
    "venue": "arxiv'26",
    "url": "https://arxiv.org/abs/2608.09696",
    "links": [
      { "label": "video", "url": "https://youtu.be/k5nzJ9Az5Tk" }
    ]
  },
  {
    "year": 2026,
    "peer": true,
    "title": "Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs",
    "authors": "Kevin Murphy",
    "venue": "ICML'26 forecasting workshop",
    "url": "https://arxiv.org/abs/2604.18576"
  },
  {
    "year": 2026,
    "peer": true,
    "title": "From Generalist to Specialist Representation",
    "authors": "Yujia Zheng, Fan Feng, Yuke Li, Shaoan Xie, Kevin Patrick Murphy, Kun Zhang",
    "venue": "ICML26",
    "url": "https://openreview.net/forum?id=zEg7sA2VBv"
  },
  {
    "year": 2026,
    "peer": true,
    "title": "Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling",
    "authors": "Fan Feng, Yujia Zheng, Minghao Fu, Yongqiang Chen, Guangyi Chen, Kevin Patrick Murphy, Biwei Huang, Kun Zhang",
    "venue": "ICML26",
    "url": "https://openreview.net/forum?id=PxpGOLlo02"
  },
  {
    "year": 2026,
    "peer": true,
    "title": "Self-Improving World Models via Asymmetric Forward-Inverse Consistency",
    "authors": "Yuejiang Liu, Lingjing Kong, Fan Feng, Weifeng Lu, Jinzhou Tang, XiangCheng Zhang, Kun Zhang, Kevin Murphy, Yilun Du, Chelsea Finn",
    "venue": "ICLR'26 Workshop on Recursive Self Improvement",
    "url": "https://openreview.net/forum?id=ajcjip0yFR"
  },
  {
    "year": 2026,
    "peer": true,
    "title": "AutoHarness: improving LLM agents by automatically synthesizing a code harness",
    "authors": "Xinghua Lou, Miguel Lazaro-Gredilla, Antoine Dedieu, Carter Wendelken, Wolfgang Lehrach, Kevin P. Murphy",
    "venue": "ICLR'26 Workshop on Recursive Self Improvement",
    "url": "https://openreview.net/forum?id=g9rEYVNn5T"
  },
  {
    "year": 2026,
    "peer": false,
    "title": "Joint Learning of Hierarchical Neural Options and Abstract World Model",
    "authors": "Wasu Top Piriyakulkij, Wolfgang Lehrach, Kevin Ellis, Kevin Murphy",
    "venue": "Arxiv'26.",
    "url": "https://arxiv.org/abs/2602.02799"
  },
  {
    "year": 2026,
    "peer": true,
    "title": "Code World Models for General Game Playing",
    "authors": "Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Jordi Grau-Moya, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin P. Murphy",
    "venue": "ICLR'26",
    "url": "https://arxiv.org/abs/2510.04542"
  },
  {
    "year": 2025,
    "peer": false,
    "title": "Scalable Generalized Bayesian Online Neural Network Training for Sequential Decision Making",
    "authors": "Gerardo Duran-Martin, Leandro Sanchez-Betancourt, Alvaro Cartea, Kevin Murphy",
    "venue": "NeurIPS, 2025.",
    "url": "https://arxiv.org/abs/2506.11898"
  },
  {
    "year": 2025,
    "peer": true,
    "title": "Distributional Diffusion Models with Scoring Rules",
    "authors": "Valentin De Bortoli, Alexandre Galashov, J. Swaroop Guntupalli, Guangyao Zhou, Kevin Murphy, Arthur Gretton, Arnaud Doucet",
    "venue": "ICML'25",
    "url": "https://arxiv.org/abs/2502.02483"
  },
  {
    "year": 2025,
    "peer": true,
    "title": "Towards a Mechanistic Explanation of Diffusion Model Generalization",
    "authors": "Matthew Niedoba, Berend Zwartsenberg, Kevin Murphy, Frank Wood",
    "venue": "ICML'25",
    "url": "https://arxiv.org/abs/2411.19339"
  },
  {
    "year": 2025,
    "peer": true,
    "title": "Direct Motion Models for Assessing Generated Videos",
    "authors": "Kelsey R Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, Joao Carreira, Sjoerd van Steenkiste",
    "venue": "ICML'25",
    "url": "https://trajan-paper.github.io/"
  },
  {
    "year": 2025,
    "peer": true,
    "title": "Dynamax: A Python package for probabilistic state space modeling with JAX",
    "authors": "Scott W. Linderman, Peter Chang, Giles Harper-Donnelly, Aleyna Kara, Xinglong Li, Gerardo Duran-Martin, Kevin Murphy",
    "venue": "J. Open Source Software.",
    "url": "https://joss.theoj.org/papers/10.21105/joss.07069"
  },
  {
    "year": 2025,
    "peer": true,
    "title": "BONE: a unifying framework for Bayesian online learning in non-stationary environments",
    "authors": "Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Murphy",
    "venue": "TMLR'25",
    "url": "https://arxiv.org/abs/2411.10153"
  },
  {
    "year": 2025,
    "peer": true,
    "title": "Diffusion Model Predictive Control",
    "authors": "Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Murphy",
    "venue": "TMLR'25 (and ICLR'25 workshop on \"Generative Models for Robot Learning\")",
    "url": "https://arxiv.org/abs/2410.05364"
  },
  {
    "year": 2025,
    "peer": true,
    "title": "Improving Transformer World Models for Data-Efficient RL",
    "authors": "Dedieu A, Ortiz J, Lou X, Wendelken C, Lehrach W, Guntupalli S, Lazaro-Gredilla M, Murphy K",
    "venue": "ICML'25 (and ICLR'25 workshop on World Models)",
    "url": "https://arxiv.org/abs/2502.01591"
  },
  {
    "year": 2024,
    "peer": false,
    "title": "Reinforcement learning: an overview",
    "authors": "Kevin Murphy",
    "venue": "arxiv",
    "url": "https://arxiv.org/abs/2412.05265"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "Towards a Mechanistic Explanation of Diffusion Model Generalization",
    "authors": "Matthew Niedoba, Berend Zwartsenberg, Kevin Murphy, Frank Wood",
    "venue": "NeurIPS 2024 Workshop on Attributing Model Behavior at Scale",
    "url": "https://arxiv.org/abs/2411.19339"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors",
    "authors": "Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Sivaramakrishnan Swaminathan, Guangyao Zhou, Miguel Lazaro-Gredilla, Kevin Patrick Murphy",
    "venue": "NeurIPS",
    "url": "https://arxiv.org/abs/2409.18330"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "EM Distillation for One-step Diffusion Models",
    "authors": "Sirui Xie, Zhisheng Xiao, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao",
    "venue": "NeurIPS",
    "url": "https://arxiv.org/abs/2405.16852"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "What type of inference is planning?",
    "authors": "Miguel Lazaro-Gredilla, Li Yang Ku, Kevin P. Murphy, Dileep George",
    "venue": "NeurIPS",
    "url": "https://www.arxiv.org/abs/2406.17863"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "Bayesian Online Natural gradient",
    "authors": "Matt Jones, Peter Chang, Kevin Murphy.",
    "venue": "NeurIPS",
    "url": "https://arxiv.org/abs/2405.19681"
  },
  {
    "year": 2024,
    "peer": false,
    "title": "Model Predictive Simulation Using Structured Graphical Models and Transformers",
    "authors": "Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lazaro-Gredilla, Kevin Murphy",
    "venue": "CVPR Workshop on Autonomous Driving",
    "url": "https://arxiv.org/abs/2406.19635"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "Outlier-robust Kalman Filtering through Generalised Bayes",
    "authors": "Gerardo Duran-Martin, Matias Altamirano, Alexander Y. Shestopaloff, Leandro Sanchez-Betancourt, Jeremias Knoblauch, Matt Jones, Francois-Xavier Briol, Kevin Murphy",
    "venue": "ICML",
    "url": "https://arxiv.org/abs/2405.05646"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "Model-based Policy Optimization under Approximate Bayesian Inference",
    "authors": "Chaoqi Wang, Yuxin Chen, Kevin Murphy",
    "venue": "AISTATS 2024 (Oral).",
    "url": "https://proceedings.mlr.press/v238/wang24g.html"
  },
  {
    "year": 2024,
    "peer": true,
    "title": "Don't Be Pessimistic Too Early: Look K Steps Ahead!",
    "authors": "Chaoqi Wang, Yuxin Chen, Kevin Murphy",
    "venue": "AISTATS",
    "url": "https://proceedings.mlr.press/v238/wang24h.html"
  },
  {
    "year": 2023,
    "peer": true,
    "title": "Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with \"Spurious\" Correlations",
    "authors": "Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour",
    "venue": "NeurIPS'23.",
    "url": "https://arxiv.org/abs/2211.15646"
  },
  {
    "year": 2023,
    "peer": true,
    "title": "SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs",
    "authors": "Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang",
    "venue": "NeurIPS'23.",
    "url": "https://arxiv.org/abs/2306.17842"
  },
  {
    "year": 2023,
    "peer": true,
    "title": "Model-based Policy Optimization under Approximate Bayesian Inference",
    "authors": "Chaoqi Wang, Yuxin Chen, Kevin Patrick Murphy",
    "venue": "ICML Workshop on Learning, Control, and Dynamical Systems",
    "url": "https://openreview.net/forum?id=5sg0Uv5H0X"
  },
  {
    "year": 2023,
    "peer": true,
    "title": "LoFi: Low-rank Bayesian filtering for online learning of neural networks",
    "authors": "Peter Chang, Gerardo Duran-Martin, Alex Shestopaloff, Matt Jones, Kevin Murphy",
    "venue": "CoLLAs (Second Conference on Lifelong Learning Agents)",
    "url": "https://arxiv.org/abs/2305.19535"
  },
  {
    "year": 2023,
    "peer": true,
    "title": "Muse: Text-To-Image Generation via Masked Generative Transformers",
    "authors": "Huiwen Chang, Han Zhang, Jarred Barber, AJ Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan",
    "venue": "ICML",
    "url": "https://arxiv.org/abs/2301.00704"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "On diagonal approximations to the extended Kalman filter for online training of Bayesian neural networks",
    "authors": "Peter Chang, Kevin Murphy, Matt Jones.",
    "venue": "ACML Workshop on Continual Lifelong Learning.",
    "url": "https://openreview.net/forum?id=asgeEt25kk"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning",
    "authors": "Zeel B Patel, Nipun Batra, Kevin Murphy",
    "venue": "NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems",
    "url": "https://arxiv.org/abs/2210.10964"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "Reliability benchmarks for image segmentation",
    "authors": "E. Kelly Buchanan, Michael W Dusenberry, Jie Ren, Kevin Patrick Murphy, Balaji Lakshminarayanan, Dustin Tran",
    "venue": "NeurIPS Workshop on Distribution Shift",
    "url": "https://openreview.net/forum?id=T6QZmBPlfv6"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "Language Model Cascades",
    "authors": "David Dohan, Aitor Lewkowycz, Jacob Austin, Winnie Xu, Yuhuai Wu, David Bieber, Raphael Gontijo-Lopes, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-Dickstein, Kevin Patrick Murphy, Charles Sutton",
    "venue": "ICML'22 Workshop on Beyond Bayes",
    "url": "https://arxiv.org/abs/2207.10342"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "Plex: Towards Reliability using Pretrained Large Model Extensions",
    "authors": "Dustin Tran, Andreas Kirsch, Balaji Lakshminarayanan, Huiyi Hu, Du Phan, D. Sculley, Jasper Snoek, Jeremiah Zhe Liu, Jie Ren, Joost van Amersfoort, Kehang Han, E. Kelly Buchanan, Kevin Murphy, Mark Collier, Michael W Dusenberry, Neil Band, Nithum Thain, Rodolphe Jenatton, Tim G. J. Rudner, Yarin Gal, Zachary Nado, Zelda E Mariet, Zi Wang, Zoubin Ghahramani",
    "venue": "ICML'22 Workshop on Pre-Training",
    "url": "https://arxiv.org/abs/2207.07411"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "COVID-19 Open-Data: A global-scale spatially granular meta-dataset for coronavirus disease",
    "authors": "Oscar Wahltinez, Aurora Cheung, Ruth Alcantara, Donny Cheung, Paula Le, Anthony Erlinger, Ofir Picazo Navarro, Mayank Daswani, Matt Lee, Kevin Murphy, and Michael Brenner",
    "venue": "Nature Scientific Data",
    "url": "https://www.nature.com/articles/s41597-022-01263-z.epdf"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "Efficient Online Bayesian Inference for Neural Bandits",
    "authors": "Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy",
    "venue": "AISTATS 2022.",
    "url": "https://arxiv.org/abs/2112.00195"
  },
  {
    "year": 2022,
    "peer": false,
    "title": "Probabilistic Machine Learning: An Introduction",
    "authors": "Kevin Murphy.",
    "venue": "MIT Press, 2022.",
    "url": "https://probml.github.io/pml-book/book1.html"
  },
  {
    "year": 2022,
    "peer": true,
    "title": "Machine Learning on Graphs: A Model and Comprehensive Taxonomy",
    "authors": "Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Re, Kevin Murphy",
    "venue": "JMLR 2022.",
    "url": "https://jmlr.org/papers/v23/20-852.html"
  },
  {
    "year": 2021,
    "peer": true,
    "title": "Risk score learning for COVID-19 contact tracing apps",
    "authors": "Kevin Murphy, Abhishek Kumar, Stelios Serghiou",
    "venue": "Machine Learning for Health Care, 2021.",
    "url": "https://proceedings.mlr.press/v149/murphy21a/murphy21a.pdf"
  },
  {
    "year": 2021,
    "peer": true,
    "title": "Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning",
    "authors": "Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran",
    "venue": "NeurIPS Bayesian Deep Learning Workshop, 2021.",
    "url": "https://openreview.net/forum?id=ehUzL3tOKEP"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems",
    "authors": "Zhe Dong, Bryan A. Seybold, Kevin P. Murphy, Hung H. Bui",
    "venue": "ICML 2020",
    "url": "http://proceedings.mlr.press/v119/dong20e.html"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "Population Based Optimization for Biological Sequence Design",
    "authors": "Andreea Gane, Christof Angermueller, D. Sculley, David Belanger, David Martin Dohan, Kevin Patrick Murphy, Lucy Colwell, Zelda Mariet",
    "venue": "ICML 2020",
    "url": "https://arxiv.org/abs/2006.03227"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "Amortized Bayesian Optimization over Discrete Spaces",
    "authors": "Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy",
    "venue": "UAI 2020",
    "url": "https://proceedings.mlr.press/v124/swersky20a.html"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "Towards Differentiable Resampling",
    "authors": "Michael Zhu, Kevin Murphy, Rico Jonschkowski",
    "venue": "RSS workshop on \"Action Representations for Learning in Continuous Control\", 2020.",
    "url": "https://arxiv.org/abs/2004.11938"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization",
    "authors": "David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten",
    "venue": "GECCO 2020",
    "url": "https://dl.acm.org/doi/10.1145/3377929.3389938"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "Model-based reinforcement learning for biological sequence design",
    "authors": "Christof Angermueller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy Colwell",
    "venue": "ICLR 2020",
    "url": "https://openreview.net/forum?id=HklxbgBKvr"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction",
    "authors": "Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann",
    "venue": "CVPR 2020.",
    "url": "https://arxiv.org/abs/1912.06445"
  },
  {
    "year": 2020,
    "peer": true,
    "title": "Regularized Autoencoders via Relaxed Injective Probability Flow",
    "authors": "Abhishek Kumar, Ben Poole, Kevin Murphy",
    "venue": "AISTATS 2020",
    "url": "https://arxiv.org/abs/2002.08927"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Biological Sequence Design using Batched Bayesian Optimization",
    "authors": "David Belanger, Suhani Vora, Zelda Mariet, Ramya Deshpande, David Dohan, Christof Angermueller, Kevin Murphy, Olivier Chapelle and Lucy Colwell",
    "venue": "NIPS19 workshop on ML for the sciences",
    "url": "https://ml4physicalsciences.github.io/2019/files/NeurIPS_ML4PS_2019_141.pdf"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Probing Uncertainty Estimates of Neural Processes",
    "authors": "Aditya Grover, Dustin Tran, Rui Shu, Ben Poole and Kevin Murphy",
    "venue": "NIPS19 Bayesian deep learning workshop.",
    "url": "http://bayesiandeeplearning.org/2019/papers/125.pdf"
  },
  {
    "year": 2019,
    "peer": false,
    "title": "Learning Video Representations using Contrastive Bidirectional Transformer",
    "authors": "Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid",
    "venue": "Arxiv 2019",
    "url": "https://arxiv.org/abs/1906.05743"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Language as an Abstraction for Hierarchical Deep Reinforcement Learning",
    "authors": "Yiding Jiang, Shixiang Gu, Kevin Murphy, Chelsea Finn",
    "venue": "NIPS'19",
    "url": "https://arxiv.org/abs/1906.07343"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Unsupervised Learning of Object Structure and Dynamics from Videos",
    "authors": "Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee",
    "venue": "NIPS'19",
    "url": "https://arxiv.org/abs/1906.07889"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction",
    "authors": "Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan Essa",
    "venue": "ICCV'19 workshop on \"Geometry meets Deep Learning\"",
    "url": "https://arxiv.org/abs/1906.06792"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "VideoBERT: A Joint Model for Video and Language Representation Learning",
    "authors": "Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid",
    "venue": "ICCV'19",
    "url": "https://arxiv.org/abs/1904.01766"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "NAS-Bench-101: Towards Reproducible Neural Architecture Search",
    "authors": "Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter",
    "venue": "ICML'19.",
    "url": "https://arxiv.org/abs/1902.09635"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Diverse Generation for Multi-agent Sports Games",
    "authors": "Raymond A. Yeh, Jonathan Huang, Alexander G. Schwing, Kevin Murphy",
    "venue": "CVPR'19",
    "url": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yeh_Diverse_Generation_for_Multi-Agent_Sports_Games_CVPR_2019_paper.pdf"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Relational Action Forecasting",
    "authors": "Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid",
    "venue": "CVPR'19",
    "url": "https://arxiv.org/abs/1904.04231"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Predicting the Present and Future States of Multi-agent Systems from Partially-observed Visual Data",
    "authors": "Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, Kevin Murphy",
    "venue": "ICLR'19",
    "url": "https://openreview.net/forum?id=r1xdH3CcKX&noteId=SJe-DEG4xE"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Modeling Uncertainty with Hedged Instance Embeddings",
    "authors": "Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher",
    "venue": "ICLR'19",
    "url": "https://arxiv.org/abs/1810.00319"
  },
  {
    "year": 2019,
    "peer": true,
    "title": "Modeling Parts, Structure, and System Dynamics via Predictive Learning",
    "authors": "Zhijian Liu, Jiajun Wu, Zhenjia Xu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum",
    "venue": "ICLR'19",
    "url": "https://openreview.net/forum?id=rJe10iC5K7&noteId=Skl4HIG-xN"
  },
  {
    "year": 2018,
    "peer": true,
    "title": "Towards Reproducible Neural Architecture and Hyperparameter Search",
    "authors": "Aaron Klein, Eric Christiansen, Kevin Murphy, Frank Hutter",
    "venue": "ICML'18 Workshop on Reproducible ML",
    "url": "https://openreview.net/forum?id=rJeMCSnml7"
  },
  {
    "year": 2018,
    "peer": true,
    "title": "Progressive Neural Architecture Search",
    "authors": "Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy",
    "venue": "ECCV'18.",
    "url": "https://arxiv.org/abs/1712.00559"
  },
  {
    "year": 2018,
    "peer": true,
    "title": "Tracking emerges by colorizing videos",
    "authors": "Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy",
    "venue": "ECCV'18.",
    "url": "https://arxiv.org/abs/1806.09594"
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    "year": 2018,
    "peer": true,
    "title": "PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model",
    "authors": "George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy",
    "venue": "ECCV'18.",
    "url": "https://arxiv.org/abs/1803.08225"
  },
  {
    "year": 2018,
    "peer": true,
    "title": "Rethinking Spatiotemporal Feature Learning For Video Understanding",
    "authors": "Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy.",
    "venue": "ECCV'18.",
    "url": "https://arxiv.org/abs/1712.04851"
  },
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    "year": 2018,
    "peer": true,
    "title": "Generative Models of Visually Grounded Imagination",
    "authors": "Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy",
    "venue": "ICLR'18.",
    "url": "https://arxiv.org/abs/1705.10762"
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    "year": 2018,
    "peer": true,
    "title": "Fixing a broken ELBO",
    "authors": "Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy",
    "venue": "ICML'18.",
    "url": "https://arxiv.org/abs/1711.00464"
  },
  {
    "year": 2018,
    "peer": true,
    "title": "XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings",
    "authors": "Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy",
    "venue": "ICML workshop on domain adaptation for visual understanding (DAVU'18).",
    "url": "https://arxiv.org/abs/1711.05139"
  },
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    "year": 2017,
    "peer": true,
    "title": "PixColor: Pixel Recursive Colorization",
    "authors": "Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy",
    "venue": "BMVC'17.",
    "url": "https://arxiv.org/abs/1705.07208"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Attention-based Extraction of Structured Information from Street View Imagery",
    "authors": "Zbigniew Wojna, Alex Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz",
    "venue": "ICDAR'17.",
    "url": "https://arxiv.org/abs/1704.03549"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs",
    "authors": "Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille",
    "venue": "IEEE PAMI, 2017.",
    "url": "https://arxiv.org/abs/1606.00915"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Deep Probabilistic Programming",
    "authors": "Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei",
    "venue": "ICLR'17.",
    "url": "https://arxiv.org/abs/1701.03757"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Deep Variational Information Bottleneck",
    "authors": "Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy",
    "venue": "ICLR'17.",
    "url": "https://arxiv.org/abs/1612.00410"
  },
  {
    "year": 2017,
    "peer": false,
    "title": "Semantic Instance Segmentation via Deep Metric Learning",
    "authors": "Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy",
    "venue": "Arxiv'17 .",
    "url": "https://arxiv.org/abs/1703.10277"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Context-aware Captions from Context-agnostic Supervision",
    "authors": "Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik",
    "venue": "CVPR'17.",
    "url": "https://arxiv.org/abs/1701.02870"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Deep Metric Learning via Facility Location",
    "authors": "Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy",
    "venue": "CVPR'17.",
    "url": "https://arxiv.org/abs/1612.01213"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Speed/accuracy trade-offs for modern convolutional object detectors",
    "authors": "Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy",
    "venue": "CVPR'17.",
    "url": "https://arxiv.org/abs/1611.10012"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Towards Accurate Multi-person Pose Estimation in the Wild",
    "authors": "George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy",
    "venue": "CVPR'17.",
    "url": "https://arxiv.org/abs/1701.01779"
  },
  {
    "year": 2017,
    "peer": true,
    "title": "Optimization of image description metrics using policy gradient methods",
    "authors": "Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy",
    "venue": "ICCV'17.",
    "url": "https://arxiv.org/abs/1612.00370"
  },
  {
    "year": 2016,
    "peer": true,
    "title": "Generation and Comprehension of Unambiguous Object Descriptions",
    "authors": "Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan Yuille, Kevin Murphy",
    "venue": "CVPR'16",
    "url": "http://arxiv.org/abs/1511.02283"
  },
  {
    "year": 2016,
    "peer": true,
    "title": "Detecting events and key actors in multi-person videos",
    "authors": "Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei.",
    "venue": "CVPR'16",
    "url": "http://arxiv.org/abs/1511.02917"
  },
  {
    "year": 2016,
    "peer": true,
    "title": "Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform",
    "authors": "Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille",
    "venue": "CVPR'16",
    "url": "http://arxiv.org/abs/1511.03328"
  },
  {
    "year": 2016,
    "peer": true,
    "title": "Efficient inference in occlusion-aware generative models of images",
    "authors": "Jonathan Huang, Kevin Murphy",
    "venue": "ICLR'16 Workshop.",
    "url": "http://arxiv.org/abs/1511.06362"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "Im2Calories: towards an automated mobile vision food diary",
    "authors": "Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy.",
    "venue": "ICCV'15",
    "url": "https://www.cv-foundation.org/openaccess/content_iccv_2015/html/Meyers_Im2Calories_Towards_an_ICCV_2015_paper.html"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "Bayesian Dark Knowledge",
    "authors": "Anoop Korattikara, Vivek Rathod, Kevin Murphy, Max Welling",
    "venue": "NIPS'15",
    "url": "http://arxiv.org/abs/1506.04416"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "Modeling and Diagnosis of Structural Systems through Sparse Dynamic Graphical Models",
    "authors": "Luke Bornn, Charles R Farrar, David Higdon, Kevin Murphy.",
    "venue": "J. of Mechanical Systems and Signal Processing, 2015",
    "url": "http://www.lukebornn.com/papers/bornn_mssp_2016.pdf"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction",
    "authors": "Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich",
    "venue": "Proc. IEEE, 2015",
    "url": "http://arxiv.org/abs/1503.00759"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision",
    "authors": "Jon Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy",
    "venue": "NAACL'15",
    "url": "http://arxiv.org/abs/1503.01558"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "Probabilistic Label Relation Graphs with Ising Models",
    "authors": "Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven",
    "venue": "ICCV 2015",
    "url": "http://arxiv.org/abs/1503.01428"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "TimeMachine: Timeline Generation for Knowledge-Base Entities",
    "authors": "Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang",
    "venue": "KDD'15",
    "url": "http://arxiv.org/abs/1502.04662"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources",
    "authors": "Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang",
    "venue": "VLDB'15.",
    "url": "http://arxiv.org/abs/1502.03519"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "Weakly and semi-supervised learning of a DCNN for semantic image segmentation",
    "authors": "George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille",
    "venue": "ICCV 2015",
    "url": "http://arxiv.org/abs/1502.02734"
  },
  {
    "year": 2015,
    "peer": true,
    "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs",
    "authors": "Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille",
    "venue": "ICLR'15",
    "url": "http://arxiv.org/abs/1412.7062"
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  {
    "year": 2014,
    "peer": true,
    "title": "Probabilistic models for collective entity resolution between knowledge graphs",
    "authors": "Jay Pujara, Kevin Murphy, Luna Dong, Curtis Janssen",
    "venue": "Bay Area Machine Learning workshop 2014",
    "url": "https://www.isi.edu/results/publications/18552/probabilistic-models-for-collective-entity-resolution-between-knowledge-graphs/"
  },
  {
    "year": 2014,
    "peer": true,
    "title": "Canonicalizing Open Knowledge Bases",
    "authors": "Luis Galarraga, Geremy Heitz, Kevin Murphy, Fabian Suchanek",
    "venue": "CIKM 2014",
    "url": "http://suchanek.name/work/publications/cikm2014.pdf"
  },
  {
    "year": 2014,
    "peer": true,
    "title": "Large-Scale Object Classification using Label Relation Graphs",
    "authors": "Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam",
    "venue": "ECCV 2014 (Best Paper Award).",
    "url": "https://doi.org/10.1007/978-3-319-10590-1_4"
  },
  {
    "year": 2014,
    "peer": true,
    "title": "Cooking with semantics",
    "authors": "Jon Malmaud, Earl Wagner, Nancy Chang, Kevin Murphy.",
    "venue": "ACL'14 Semantic Parsing Workshop",
    "url": "https://aclanthology.org/W14-2407/"
  },
  {
    "year": 2014,
    "peer": true,
    "title": "Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion",
    "authors": "Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang",
    "venue": "KDD'14.",
    "url": "https://research.google/pubs/knowledge-vault-a-web-scale-approach-to-probabilistic-knowledge-fusion/"
  },
  {
    "year": 2014,
    "peer": true,
    "title": "From Data Fusion to Knowledge Fusion",
    "authors": "Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang",
    "venue": "VLDB'14.",
    "url": "https://doi.org/10.14778/2732951.2732962"
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    "year": 2014,
    "peer": true,
    "title": "Knowledge Base Completion via Search-Based Question Answering",
    "authors": "Robert West, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Rahul Gupta, Dekang Lin",
    "venue": "WWW'14.",
    "url": "https://doi.org/10.1145/2566486.2568032"
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  {
    "year": 2013,
    "peer": true,
    "title": "Extracting Entities and Relations from Web Tables Using a Non-parametric Generative Model",
    "authors": "Jon Malmaud, Kevin Murphy",
    "venue": "Bay Area Machine Learning workshop (Extended abstract)",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/baylearn.pdf"
  },
  {
    "year": 2012,
    "peer": true,
    "title": "Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression",
    "authors": "Emtiyaz Khan, Shakir Mohammad, Kevin Murphy",
    "venue": "NIPS 2012",
    "url": "https://proceedings.neurips.cc/paper/2012/hash/e94f63f579e05cb49c05c2d050ead9c0-Abstract.html"
  },
  {
    "year": 2012,
    "peer": false,
    "title": "Machine learning: a probabilistic perspective",
    "authors": "Kevin Murphy",
    "venue": "MIT Press 2012",
    "url": "https://probml.github.io/pml-book/book0.html"
  },
  {
    "year": 2012,
    "peer": true,
    "title": "Learning to Track and Identify Players from Broadcast Sports Videos",
    "authors": "Wei-Lwun Lu, Joanne Ting, Jim Little, Kevin Murphy",
    "venue": "IEEE PAMI",
    "url": "https://doi.org/10.1109/TPAMI.2012.242"
  },
  {
    "year": 2012,
    "peer": false,
    "title": "Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence",
    "authors": "Nando de Freitas and Kevin Murphy (eds)",
    "venue": "",
    "url": "http://www.auai.org/uai2012/proceedings.pdf"
  },
  {
    "year": 2012,
    "peer": true,
    "title": "A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models",
    "authors": "M. E. Khan, S. Mohamed, B. Marlin, and K. Murphy",
    "venue": "AI/Stats 2012",
    "url": "https://proceedings.mlr.press/v22/khan12.html"
  },
  {
    "year": 2012,
    "peer": true,
    "title": "Efficient Bayesian Inference for Multivariate Probit Models with Sparse Inverse Correlation Matrices",
    "authors": "A. Talhouk and A. Doucet and K. Murphy",
    "venue": "Journal of Computational and Graphical Statistics, 21(3), 2012.",
    "url": "https://doi.org/10.1080/10618600.2012.679239"
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  {
    "year": 2011,
    "peer": true,
    "title": "Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models",
    "authors": "B. Marlin and E. Khan and K. Murphy",
    "venue": "ICML 2011",
    "url": "https://icml.cc/2011/papers/376_icmlpaper.pdf"
  },
  {
    "year": 2011,
    "peer": true,
    "title": "Identifying Players in Broadcast Sports Videos using Conditional Random Fields",
    "authors": "Wei-Lwun Lu, Jo-Anne Ting, Kevin P. Murphy, and James J. Little",
    "venue": "CVPR 2011.",
    "url": "https://doi.org/10.1109/CVPR.2011.5995562"
  },
  {
    "year": 2011,
    "peer": true,
    "title": "Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification",
    "authors": "David Duvenaud, Ben Marlin, Kevin Murphy.",
    "venue": "Canadian Conf. on Computer and Robot Vision (CRV) 2011",
    "url": "https://doi.org/10.1109/CRV.2011.56"
  },
  {
    "year": 2010,
    "peer": true,
    "title": "Variational bounds for mixed-data factor analysis",
    "authors": "M. E. Khan, B. Marlin, G. Bouchard, K. Murphy",
    "venue": "NIPS 2010.",
    "url": "https://proceedings.neurips.cc/paper/2010/hash/2a084e55c87b1ebcdaad1f62fdbbac8e-Abstract.html"
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  {
    "year": 2010,
    "peer": true,
    "title": "Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection",
    "authors": "Farshid S. Garmaroudia, David Marchant, Xiaoning Si, Abbas Khalili, Ali Bashashati, Brian W. Wong, Aline Tabet, Raymond T. Ng, Kevin Murphy, Honglin Luo, Kevin A. Janes, Bruce M. McManus.",
    "venue": "Proc. Natl. Acad. Sciences, 107(39): 17053-17058, 2010",
    "url": "http://www.pnas.org/content/107/39/17053.abstract"
  },
  {
    "year": 2010,
    "peer": true,
    "title": "Computational approaches for RNA energy parameter estimation",
    "authors": "Mirela Andronescu, Anne Condon, Holger Hoos, David Mathews, Kevin Murphy",
    "venue": "RNA Journal, 16(12):2304-2318, 2010.",
    "url": "https://rnajournal.cshlp.org/content/16/12/2304.full"
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    "year": 2010,
    "peer": true,
    "title": "Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials",
    "authors": "Mark Schmidt, Kevin Murphy",
    "venue": "AISTATS 2010.",
    "url": "https://proceedings.mlr.press/v9/schmidt10a.html"
  },
  {
    "year": 2010,
    "peer": true,
    "title": "Time-Bounded Sequential Parameter Optimization",
    "authors": "Frank Hutter, Holger Hoos, Kevin Murphy, Kevin Leyton-Brown",
    "venue": "Learning and Intelligent Optimization - LION4 2010.",
    "url": "https://doi.org/10.1007/978-3-642-13800-3_30"
  },
  {
    "year": 2010,
    "peer": false,
    "title": "Book Review of \"Probabilistic graphical models\" by Koller and Friedman",
    "authors": "Kevin Murphy",
    "venue": "Artificial Intelligence Journal, 174(2):145-146, 2010.",
    "url": "http://dx.doi.org/10.1016/j.artint.2009.11.005"
  },
  {
    "year": 2010,
    "peer": true,
    "title": "SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors",
    "authors": "Rodrigo Goya, Mark G. F. Sun, Ryan D. Morin, Gillian Leung, Gavin Ha, Kimberley C. Wiegand, Janine Senz, Anamaria Crisan, Marco A. Marra, Martin Hirst, David Huntsman, Kevin P. Murphy, Sam Aparicio, Sohrab P. Shah",
    "venue": "Bioinformatics, 26(6):730-736, 2010.",
    "url": "https://doi.org/10.1093/bioinformatics/btq040"
  },
  {
    "year": 2010,
    "peer": false,
    "title": "Using the forest to see the trees: object recognition in context",
    "authors": "A. Torralba, K. Murphy, W. Freeman",
    "venue": "Communications of the ACM, Research Highlights, 53(3): 107-114, 2010.",
    "url": "https://doi.org/10.1145/1666420.1666446"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models",
    "authors": "Baback Moghaddam, Ben Marlin, Emtiyaz Khan, Kevin Murphy.",
    "venue": "NIPS 2009",
    "url": "https://proceedings.neurips.cc/paper/2009/hash/a1519de5b5d44b31a01de013b9b51a80-Abstract.html"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "Causal learning without DAGs",
    "authors": "David Duvenaud, Daniel Eaton, Kevin Murphy, Mark Schmidt.",
    "venue": "JMLR W&CP 2009.",
    "url": "https://proceedings.mlr.press/v6/duvenaud10a.html"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "Group Sparse Priors for Covariance Estimation",
    "authors": "Ben Marlin, Mark Schmidt, and Kevin Murphy",
    "venue": "UAI 2009",
    "url": "https://arxiv.org/abs/1205.2626"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "Modeling Discrete Interventional Data using Directed Cyclic Graphical Models",
    "authors": "Mark Schmidt, Kevin Murphy",
    "venue": "UAI 2009",
    "url": "https://arxiv.org/abs/1205.2617"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "Sparse Gaussian Graphical Models with Unknown Block Structure",
    "authors": "Ben Marlin and Kevin Murphy",
    "venue": "ICML 2009",
    "url": "https://icml.cc/2009/papers/284.pdf"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "Model-based clustering of array CGH data",
    "authors": "Sohrab P. Shah, K-John Cheung Jr., Nathalie A. Johnson, Guillaume Alain, Randy D. Gascoyne, Douglas E. Horsman, Raymond T. Ng, Kevin P. Murphy",
    "venue": "Bioinformatics, 25(12):i30-i38, 2009.",
    "url": "https://doi.org/10.1093/bioinformatics/btp205"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "An Experimental Investigation of Model-Based Parameter Optimisation: SPO and Beyond",
    "authors": "Frank Hutter, Kevin Leyton-Brown, Kevin Murphy.",
    "venue": "Gecco 2009.",
    "url": "https://ml.informatik.uni-freiburg.de/wp-content/uploads/papers/09-GECCO-SPO%2B.pdf"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "A Hybrid Conditional Random Field for estimating the underlying ground surface from airborne LiDAR data",
    "authors": "Wei-Lwun Lu, Kevin Murphy, James J. Little, Alla Sheffer, Hongbo Fu.",
    "venue": "IEEE Trans. on Geoscience and Remote Sensing, 47(8):2913-2922, 2009.",
    "url": "https://doi.org/10.1109/TGRS.2009.2017738"
  },
  {
    "year": 2009,
    "peer": true,
    "title": "Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm",
    "authors": "Mark Schmidt, Ewout van den Berg, Michael Friedlander, Kevin Murphy",
    "venue": "AISTATS 2009 (Best Paper Award).",
    "url": "https://proceedings.mlr.press/v5/schmidt09a.html"
  },
  {
    "year": 2008,
    "peer": true,
    "title": "Structure Learning in Random Fields for Heart Motion Abnormality Detection",
    "authors": "Mark Schmidt, Kevin Murphy, Glenn Fung, Romer Rosales.",
    "venue": "CVPR 2008.",
    "url": "https://doi.org/10.1109/CVPR.2008.4587367"
  },
  {
    "year": 2008,
    "peer": true,
    "title": "LabelMe: a database and web-based tool for image annotation",
    "authors": "Bryan Russell, Antonio Torralba, Kevin Murphy and William Freeman",
    "venue": "Intl. J. Computer Vision (special issue on vision and learning), 77(1-3):157-173, 2008.",
    "url": "https://doi.org/10.1007/s11263-007-0090-8"
  },
  {
    "year": 2007,
    "peer": false,
    "title": "Software for graphical models: a review",
    "authors": "Kevin Murphy",
    "venue": "ISBA Bulletin, 14(4):13-15, December 2007.",
    "url": "https://bayesian.org/wp-content/uploads/2016/09/0712.pdf"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Bayesian structure learning using dynamic programming and MCMC",
    "authors": "Daniel Eaton and Kevin Murphy",
    "venue": "UAI 2007.",
    "url": "https://arxiv.org/abs/1206.5247"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Modeling changing dependency structure in multivariate time series",
    "authors": "Xiang Xuan and Kevin Murphy.",
    "venue": "Intl. conf on machine learning (ICML), 2007.",
    "url": "https://doi.org/10.1145/1273496.1273629"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Learning Graphical Model Structure using L1-Regularization Paths",
    "authors": "M Schmidt, A Niculescu-Mizil, K Murphy.",
    "venue": "AAAI'07.",
    "url": "https://cdn.aaai.org/AAAI/2007/AAAI07-202.pdf"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Efficient parameter estimation for RNA secondary structure prediction",
    "authors": "M Andronescu, A Condon, H Hoos, D Mathews, K Murphy.",
    "venue": "Bioinformatics 2007",
    "url": "https://doi.org/10.1093/bioinformatics/btm223"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Modeling recurrent DNA copy number alterations in array CGH data",
    "authors": "S Shah, W Lam, R Ng, K Murphy.",
    "venue": "Bioinformatics 2007.",
    "url": "https://doi.org/10.1093/bioinformatics/btm221"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Exact Bayesian structure learning from uncertain interventions",
    "authors": "Daniel Eaton and Kevin Murphy.",
    "venue": "AISTATS 2007.",
    "url": "https://proceedings.mlr.press/v2/eaton07a.html"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Sharing visual features for multiclass and multiview object detection",
    "authors": "Antonio Torralba, Kevin Murphy and William Freeman",
    "venue": "IEEE PAMI, 29(5), May 2007",
    "url": "https://doi.org/10.1109/TPAMI.2007.1055"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "Figure-ground segmentation using a hierarchical conditional random field",
    "authors": "Jordan Reynolds and Kevin Murphy.",
    "venue": "Fourth Canadian Conference on Computer and Robot Vision (CRV 2007)",
    "url": "https://doi.org/10.1109/CRV.2007.32"
  },
  {
    "year": 2007,
    "peer": true,
    "title": "A non-myopic approach to visual search",
    "authors": "Julia Vogel and Kevin Murphy.",
    "venue": "Fourth Canadian Conference on Computer and Robot Vision (CRV 2007)",
    "url": "https://doi.org/10.1109/CRV.2007.5"
  },
  {
    "year": 2007,
    "peer": false,
    "title": "Conjugate Bayesian analysis of the univariate Gaussian: a tutorial",
    "authors": "Kevin Murphy, September 2007.",
    "venue": "",
    "url": "https://cbmm.mit.edu/sites/default/files/learning-hub/Murphy07_gaussian.pdf"
  },
  {
    "year": 2006,
    "peer": true,
    "title": "Integrating copy number polymorphisms into array CGH analysis using a robust HMM",
    "authors": "Sohrab P. Shah, Xiang Xuan, Ron J. DeLeeuw, Mehrnoush Khojasteh, Wan L. Lam, Raymond T. Ng, Kevin P. Murphy",
    "venue": "Bioinformatics, 22(14):e431-e439, July 2006.",
    "url": "https://doi.org/10.1093/bioinformatics/btl238"
  },
  {
    "year": 2006,
    "peer": true,
    "title": "Accelerated Training of Conditional Random Fields with Stochastic Meta-Descent",
    "authors": "S Vishwanathan, N. Schraudolph, M. Schmidt, K. Murphy",
    "venue": "ICML'06 (Intl. Conf. on Machine Learning).",
    "url": "https://doi.org/10.1145/1143844.1143966"
  },
  {
    "year": 2005,
    "peer": false,
    "title": "Object detection and localization using local and global features",
    "authors": "Kevin Murphy, Antonio Torralba, Daniel Eaton, William Freeman",
    "venue": "Appears in Towards Category-Level Object Recognition",
    "url": "https://doi.org/10.1007/11957959_20"
  },
  {
    "year": 2005,
    "peer": false,
    "title": "Shared features for multiclass object detection",
    "authors": "Antonio Torralba, Kevin Murphy, William Freeman",
    "venue": "Appears in Towards Category-Level Object Recognition",
    "url": "https://doi.org/10.1007/11957959_18"
  },
  {
    "year": 2004,
    "peer": true,
    "title": "Contextual Models for Object Detection using Boosted Random Fields",
    "authors": "Antonio Torralba, Kevin Murphy and William Freeman",
    "venue": "NIPS'04.",
    "url": "https://proceedings.neurips.cc/paper/2004/hash/908a6f6a6c131a850ecb0e3f11b08189-Abstract.html"
  },
  {
    "year": 2004,
    "peer": true,
    "title": "Sharing features: efficient boosting procedures for multiclass object detection",
    "authors": "Antonio Torralba, Kevin Murphy and William Freeman",
    "venue": "CVPR'04 (Computer Vision and Pattern Recognition).",
    "url": "https://doi.org/10.1109/CVPR.2004.1315241"
  },
  {
    "year": 2004,
    "peer": true,
    "title": "Representing hierarchical POMDPs as DBNs for multi-scale robot localization",
    "authors": "Georgios Theocharous, Kevin Murphy, Leslie Kaelbling",
    "venue": "ICRA'04 (Intl. Conf. on Robotics and Automation)",
    "url": "https://doi.org/10.1109/ROBOT.2004.1307288"
  },
  {
    "year": 2003,
    "peer": true,
    "title": "Using the Forest to See the Trees: A Graphical Model Relating Features, Objects and Scenes",
    "authors": "Kevin Murphy, Antonio Torralba, William Freeman",
    "venue": "NIPS'03 (Neural Info. Processing Systems)",
    "url": "https://proceedings.neurips.cc/paper/2003/hash/99f59c0842e83c808dd1813b48a37c6a-Abstract.html"
  },
  {
    "year": 2003,
    "peer": true,
    "title": "Context-based vision system for place and object recognition",
    "authors": "Antonio Torralba, Kevin Murphy, William Freeman, Mark Rubin",
    "venue": "ICCV'03 (Intl. Conf. on Computer Vision)",
    "url": "https://doi.org/10.1109/ICCV.2003.1238354"
  },
  {
    "year": 2002,
    "peer": true,
    "title": "Dynamic Bayesian Networks for Audio-Visual Speech Recognition",
    "authors": "A. Nefian, L. Liang, X. Pi, X. Liu and K. Murphy",
    "venue": "EURASIP, Journal of Applied Signal Processing, 11:1-15, 2002",
    "url": "https://doi.org/10.1155/S1110865702206083"
  },
  {
    "year": 2002,
    "peer": true,
    "title": "A Coupled HMM for Audio-Visual Speech Recognition",
    "authors": "A. Nefian, L. Liang, X. Pi, L. Xiaoxiang, C. Mao and K. Murphy",
    "venue": "ICASSP '02 (IEEE Int'l Conf. on Acoustics, Speech and Signal Processing), 2:2013-2016.",
    "url": "https://doi.org/10.1109/ICASSP.2002.5745027"
  },
  {
    "year": 2002,
    "peer": false,
    "title": "Learning Markov Processes",
    "authors": "Kevin Murphy.",
    "venue": "The Encyclopedia of Cognitive Science",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/macmillan.pdf"
  },
  {
    "year": 2002,
    "peer": false,
    "title": "Hidden semi-Markov models (segment models)",
    "authors": "Kevin Murphy. November 2002.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/segment.pdf"
  },
  {
    "year": 2002,
    "peer": false,
    "title": "Dynamic Bayesian Networks.",
    "authors": "Kevin Murphy. November 2002.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/dbnchapter.pdf"
  },
  {
    "year": 2002,
    "peer": false,
    "title": "Pearl's algorithm for vector Gaussian Bayes Nets",
    "authors": "Kevin Murphy. March 2002.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/gausspearl.pdf"
  },
  {
    "year": 2001,
    "peer": true,
    "title": "Linear Time Inference in Hierarchical HMMs",
    "authors": "Kevin Murphy and Mark Paskin.",
    "venue": "NIPS '01 (Neural Info. Proc. Systems).",
    "url": "https://proceedings.neurips.cc/paper/2001/hash/aebf7782a3d445f43cf30ee2c0d84dee-Abstract.html"
  },
  {
    "year": 2001,
    "peer": true,
    "title": "The Factored Frontier Algorithm for Approximate Inference in DBNs",
    "authors": "Kevin Murphy and Yair Weiss.",
    "venue": "UAI '01 (Uncertainty in AI).",
    "url": "https://arxiv.org/abs/1301.2296"
  },
  {
    "year": 2001,
    "peer": true,
    "title": "The Bayes Net Toolbox for Matlab",
    "authors": "Kevin Murphy.",
    "venue": "Computing Science and Statistics, vol. 33, 2001.",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/bnt.pdf"
  },
  {
    "year": 2001,
    "peer": true,
    "title": "Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks",
    "authors": "Kevin Murphy and Stuart Russell.",
    "venue": "Appears in Sequential Monte Carlo Methods in Practice",
    "url": "https://doi.org/10.1007/978-1-4757-3437-9_24"
  },
  {
    "year": 2001,
    "peer": false,
    "title": "An introduction to graphical models",
    "authors": "Kevin Murphy. May 2001.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/intro_gm.pdf"
  },
  {
    "year": 2001,
    "peer": false,
    "title": "Active learning of causal Bayes net structure",
    "authors": "Kevin Murphy. March 2001.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/alearn.pdf"
  },
  {
    "year": 2000,
    "peer": true,
    "title": "Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks",
    "authors": "Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell.",
    "venue": "UAI '00 (Uncertainty in AI).",
    "url": "https://arxiv.org/abs/1301.3853"
  },
  {
    "year": 2000,
    "peer": false,
    "title": "A Survey of POMDP Solution Techniques",
    "authors": "Kevin Murphy. September 2000.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/pomdp.pdf"
  },
  {
    "year": 2000,
    "peer": false,
    "title": "Modeling Freeway Traffic using Coupled HMMs",
    "authors": "Jaimyoung Kwon and Kevin Murphy. May 2000.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/traffic.ps.gz"
  },
  {
    "year": 2000,
    "peer": false,
    "title": "MCMC for Conditionally Linear Gaussian State-Space Models",
    "authors": "Kevin Murphy. 2000.",
    "venue": "",
    "url": "https://www.cs.ubc.ca/~murphyk/Papers/carter.ps.gz"
  },
  {
    "year": 1999,
    "peer": true,
    "title": "Bayesian Map Learning in Dynamic Environments",
    "authors": "Kevin Murphy.",
    "venue": "NIPS '99 (Neural Info. Proc. Systems).",
    "url": "https://proceedings.neurips.cc/paper/1999/hash/66be31e4c40d676991f2405aaecc6934-Abstract.html"
  },
  {
    "year": 1999,
    "peer": true,
    "title": "Loopy-belief Propagation for Approximate Inference: An Empirical Study",
    "authors": "Kevin Murphy, Yair Weiss, and Michael Jordan.",
    "venue": "UAI '99 (Uncertainty in AI).",
    "url": "https://arxiv.org/abs/1301.6725"
  },
  {
    "year": 1999,
    "peer": true,
    "title": "A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables",
    "authors": "Kevin Murphy.",
    "venue": "UAI '99 (Uncertainty in AI).",
    "url": "https://arxiv.org/abs/1301.6724"
  },
  {
    "year": 1999,
    "peer": true,
    "title": "A Dynamic Bayesian Network Approach to Figure Tracking Using Learned Dynamic Models",
    "authors": "Vladimir Pavlovic, James Rehg, Tat-Jen Cham, and Kevin Murphy.",
    "venue": "ICCV '99 (Int'l Conf. on Computer Vision)",
    "url": "https://doi.org/10.1109/ICCV.1999.791203"
  },
  {
    "year": 1999,
    "peer": true,
    "title": "Vision-Based Speaker Detection Using Bayesian Networks",
    "authors": "James Rehg, Kevin Murphy, and Paul Fieguth.",
    "venue": "CVPR '99 (Computer Vision and Pattern Recognition).",
    "url": "https://doi.org/10.1109/CVPR.1999.784617"
  }
];