| 2020 | CVPR | The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. | Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann |
| 2019 | ICLR | Modeling Uncertainty with Hedged Instance Embeddings. | Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher |
| 2015 | ICCV | Probabilistic Label Relation Graphs with Ising Models. | Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven |
| 2015 | ICCV | Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. | George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille |
| 2011 | CVPR | Identifying players in broadcast sports videos using conditional random fields. | Wei-Lwun Lu, Jo-Anne Ting, Kevin P. Murphy, James J. Little |
| 2011 | ICML | Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models. | Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy |
| 2009 | GECCO | An experimental investigation of model-based parameter optimisation: SPO and beyond. | Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy |
| 2009 | ICML | Sparse Gaussian graphical models with unknown block structure. | Benjamin M. Marlin, Kevin P. Murphy |
| 2009 | UAI | Group Sparse Priors for Covariance Estimation. | Benjamin M. Marlin, Mark Schmidt, Kevin P. Murphy |
| 2009 | UAI | Modeling Discrete Interventional Data using Directed Cyclic Graphical Models. | Mark Schmidt, Kevin P. Murphy |
| 2008 | CVPR | Structure learning in random fields for heart motion abnormality detection. | Mark Schmidt, Kevin P. Murphy, Glenn Fung, Rmer Rosales |
| 2007 | AAAI | Learning Graphical Model Structure Using L1-Regularization Paths. | Mark Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy |
| 2007 | ICML | Modeling changing dependency structure in multivariate time series. | Xiang Xuan, Kevin P. Murphy |
| 2007 | ISMB | Efficient parameter estimation for RNA secondary structure prediction. | Mirela Andronescu, Anne Condon, Holger H. Hoos, David H. Mathews, Kevin P. Murphy |
| 2007 | ISMB | Modeling recurrent DNA copy number alterations in array CGH data. | Sohrab P. Shah, Wan L. Lam, Raymond T. Ng, Kevin P. Murphy |
| 2007 | UAI | Bayesian structure learning using dynamic programming and MCMC. | Daniel Eaton, Kevin P. Murphy |
| 2006 | ICML | Accelerated training of conditional random fields with stochastic gradient methods. | S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy |
| 2006 | ISMB | Integrating copy number polymorphisms into array CGH analysis using a robust HMM. | Sohrab P. Shah, Xiang Xuan, Ronald J. deLeeuw, Mehrnoush Khojasteh, Wan L. Lam, Raymond T. Ng, Kevin P. Murphy |
| 2004 | CVPR | Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. | Antonio Torralba, Kevin P. Murphy, William T. Freeman |
| 2004 | ICRA | Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. | Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling |
| 2003 | ICCV | Context-based vision system for place and object recognition. | Antonio Torralba, Kevin P. Murphy, William T. Freeman, Mark A. Rubin |
| 2002 | ICASSP | A coupled HMM for audio-visual speech recognition. | Ara V. Nefian, Luhong Liang, Xiaobo Pi, Xiaoxiang Liu, Crusoe Mao, Kevin P. Murphy |
| 2001 | UAI | The Factored Frontier Algorithm for Approximate Inference in DBNs. | Kevin P. Murphy, Yair Weiss |
| 2000 | UAI | Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell |
| 1999 | CVPR | Vision-Based Speaker Detection Using Bayesian Networks. | James M. Rehg, Kevin P. Murphy, Paul W. Fieguth |
| 1999 | ICCV | A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. | Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy |
| 1999 | UAI | A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables. | Kevin P. Murphy |
| 1999 | UAI | Loopy Belief Propagation for Approximate Inference: An Empirical Study. | Kevin P. Murphy, Yair Weiss, Michael I. Jordan |
| 1998 | UAI | Learning the Structure of Dynamic Probabilistic Networks. | Nir Friedman, Kevin P. Murphy, Stuart Russell |
| 1997 | IJCAI | Space-Efficient Inference in Dynamic Probabilistic Networks. | John Binder, Kevin P. Murphy, Stuart Russell |
| 1995 | ISMB | Automata-Theoretic Models of Mutation and Alignment. | David B. Searls, Kevin P. Murphy |