Automata-Theoretic Models of Mutation and Alignment. - David B. Searls; Kevin P. Murphy (ISMB, 1995)

Space-Efficient Inference in Dynamic Probabilistic Networks. - John Binder; Kevin P. Murphy; Stuart Russell 001 (IJCAI, 1997)

Learning the Structure of Dynamic Probabilistic Networks. - Nir Friedman; Kevin P. Murphy; Stuart Russell 001 (UAI, 1998)

Vision-Based Speaker Detection Using Bayesian Networks. - James M. Rehg; Kevin P. Murphy; Paul W. Fieguth (CVPR, 1999)

A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. - Vladimir Pavlovic 001; James M. Rehg; Tat-Jen Cham; Kevin P. Murphy (ICCV, 1999)

Bayesian Map Learning in Dynamic Environments. - Kevin P. Murphy (NIPS, 1999)

A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables. - Kevin P. Murphy (UAI, 1999)

Loopy Belief Propagation for Approximate Inference: An Empirical Study. - Kevin P. Murphy; Yair Weiss; Michael I. Jordan (UAI, 1999)

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. - Arnaud Doucet; Nando de Freitas; Kevin P. Murphy; Stuart Russell 001 (UAI, 2000)

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. - Kevin Murphy 002; Stuart Russell 001 (Sequential Monte Carlo Methods in Practice, 2001)

Linear-time inference in Hierarchical HMMs. - Kevin P. Murphy; Mark A. Paskin (NIPS, 2001)

The Factored Frontier Algorithm for Approximate Inference in DBNs. - Kevin P. Murphy; Yair Weiss (UAI, 2001)

A coupled HMM for audio-visual speech recognition. - Ara V. Nefian; Luhong Liang; Xiaobo Pi; Xiaoxiang Liu; Crusoe Mao; Kevin P. Murphy (ICASSP, 2002)

Dynamic Bayesian Networks for Audio-Visual Speech Recognition. - Ara V. Nefian; Luhong Liang; Xiaobo Pi; Xiaoxing Liu; Kevin P. Murphy (EURASIP J. Adv. Signal Process., 2002)

Context-based vision system for place and object recognition. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman; Mark A. Rubin (ICCV, 2003)

Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes. - Kevin P. Murphy; Antonio Torralba 001; William T. Freeman (NIPS, 2003)

Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (CVPR (2), 2004)

Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. - Georgios Theocharous; Kevin P. Murphy; Leslie Pack Kaelbling (ICRA, 2004)

Contextual Models for Object Detection Using Boosted Random Fields. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (NIPS, 2004)

Object Detection and Localization Using Local and Global Features. - Kevin P. Murphy; Antonio Torralba 001; Daniel Eaton; William T. Freeman (Toward Category-Level Object Recognition, 2006)

Shared Features for Multiclass Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Toward Category-Level Object Recognition, 2006)

Accelerated training of conditional random fields with stochastic gradient methods. - S. V. N. Vishwanathan; Nicol N. Schraudolph; Mark W. Schmidt; Kevin P. Murphy (ICML, 2006)

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 (ISMB (Supplement of Bioinformatics), 2006)

Learning Graphical Model Structure Using L1-Regularization Paths. - Mark Schmidt 001; Alexandru Niculescu-Mizil; Kevin P. Murphy (AAAI, 2007)

Figure-ground segmentation using a hierarchical conditional random field. - Jordan Reynolds; Kevin P. Murphy (CRV, 2007)

A non-myopic approach to visual search. - Julia Vogel; Kevin P. Murphy (CRV, 2007)

Modeling changing dependency structure in multivariate time series. - Xiang Xuan; Kevin P. Murphy (ICML, 2007)

Efficient parameter estimation for RNA secondary structure prediction. - Mirela Andronescu; Anne Condon; Holger H. Hoos; David H. Mathews; Kevin P. Murphy (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Modeling recurrent DNA copy number alterations in array CGH data. - Sohrab P. Shah; Wan L. Lam; Raymond T. Ng; Kevin P. Murphy (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Bayesian structure learning using dynamic programming and MCMC. - Daniel Eaton; Kevin P. Murphy (UAI, 2007)

Exact Bayesian structure learning from uncertain interventions. - Daniel Eaton; Kevin P. Murphy (AISTATS, 2007)

Sharing Visual Features for Multiclass and Multiview Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Structure learning in random fields for heart motion abnormality detection. - Mark Schmidt 001; Kevin P. Murphy; Glenn Fung; Rómer Rosales (CVPR, 2008)

LabelMe: A Database and Web-Based Tool for Image Annotation. - Bryan C. Russell; Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Int. J. Comput. Vis., 2008)

An experimental investigation of model-based parameter optimisation: SPO and beyond. - Frank Hutter; Holger H. Hoos; Kevin Leyton-Brown; Kevin P. Murphy (GECCO, 2009)

Sparse Gaussian graphical models with unknown block structure. - Benjamin M. Marlin; Kevin P. Murphy (ICML, 2009)

Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models. - Baback Moghaddam; Benjamin M. Marlin; Mohammad Emtiyaz Khan; Kevin P. Murphy (NIPS, 2009)

Group Sparse Priors for Covariance Estimation. - Benjamin M. Marlin; Mark Schmidt 001; Kevin P. Murphy (UAI, 2009)

Modeling Discrete Interventional Data using Directed Cyclic Graphical Models. - Mark Schmidt 001; Kevin P. Murphy (UAI, 2009)

Model-based clustering of array CGH data. - Sohrab P. Shah; K-John Cheung Jr.; Nathalie A. Johnson; Guillaume Alain; Randy D. Gascoyne; Douglas E. Horsman; Raymond T. Ng; Kevin P. Murphy (Bioinform., 2009)

Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. - Mark Schmidt 001; Ewout van den Berg; Michael P. Friedlander; Kevin P. Murphy (AISTATS, 2009)

A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data. - Wei-Lwun Lu; Kevin P. Murphy; James J. Little; Alla Sheffer; Hongbo Fu 001 (IEEE Trans. Geosci. Remote. Sens., 2009)

Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches. - Frank Hutter; Thomas Bartz-Beielstein; Holger H. Hoos; Kevin Leyton-Brown; Kevin P. Murphy (Experimental Methods for the Analysis of Optimization Algorithms, 2010)

Time-Bounded Sequential Parameter Optimization. - Frank Hutter; Holger H. Hoos; Kevin Leyton-Brown; Kevin P. Murphy (LION, 2010)

Variational bounds for mixed-data factor analysis. - Mohammad Emtiyaz Khan; Benjamin M. Marlin; Guillaume Bouchard; Kevin P. Murphy (NIPS, 2010)

Review of "Probabilistic graphical models" by Koller and Friedman. - Kevin P. Murphy (Artif. Intell., 2010)

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors. - 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 G. Huntsman; Kevin P. Murphy; et al. (Bioinform., 2010)

Using the forest to see the trees: exploiting context for visual object detection and localization. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Commun. ACM, 2010)

Causal learning without DAGs. - David Duvenaud; Daniel Eaton; Kevin P. Murphy; Mark Schmidt 001 (NIPS Causality: Objectives and Assessment, 2010)

Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials. - Mark Schmidt 001; Kevin P. Murphy (AISTATS, 2010)

Challenges and Solutions for Embedded and Networked Aerospace Software Systems. - David C. Sharp; Alex E. Bell; Jeffrey J. Gold; Ken W. Gibbar; Dennis W. Gvillo; Vann M. Knight; Kevin P. Murphy; Wendy Roll; Radhakrishna G. Sampigethaya; Viswa Santhanam; Steven P. Weismuller (Proc. IEEE, 2010)

Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification. - David Duvenaud; Benjamin M. Marlin; Kevin P. Murphy (CRV, 2011)

Identifying players in broadcast sports videos using conditional random fields. - Wei-Lwun Lu; Jo-Anne Ting; Kevin P. Murphy; James J. Little (CVPR, 2011)

Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models. - Benjamin M. Marlin; Mohammad Emtiyaz Khan; Kevin P. Murphy (ICML, 2011)

Machine learning - a probabilistic perspective. - Kevin P. Murphy (MIT Press, 2012)

Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression. - Mohammad Emtiyaz Khan; Shakir Mohamed; Kevin P. Murphy (NIPS, 2012)

A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models. - Mohammad Emtiyaz Khan; Shakir Mohamed; Benjamin M. Marlin; Kevin P. Murphy (AISTATS, 2012)

From big data to big knowledge. - Kevin Murphy 002 (CIKM, 2013)

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (2012) - Nando de Freitas; Kevin P. Murphy (CoRR, 2013)

Learning to Track and Identify Players from Broadcast Sports Videos. - Wei-Lwun Lu; Jo-Anne Ting; James J. Little; Kevin P. Murphy (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Canonicalizing Open Knowledge Bases. - Luis Galárraga; Geremy Heitz; Kevin Murphy 002; Fabian M. Suchanek (CIKM, 2014)

Large-Scale Object Classification Using Label Relation Graphs. - Jia Deng 001; Nan Ding 002; Yangqing Jia; Andrea Frome; Kevin Murphy 002; Samy Bengio; Yuan Li; Hartmut Neven; Hartwig Adam (ECCV (1), 2014)

Knowledge vault: a web-scale approach to probabilistic knowledge fusion. - Xin Dong 001; Evgeniy Gabrilovich; Geremy Heitz; Wilko Horn; Ni Lao; Kevin Murphy 002; Thomas Strohmann; Shaohua Sun; Wei Zhang 152 (KDD, 2014)

Knowledge base completion via search-based question answering. - Robert West 001; Evgeniy Gabrilovich; Kevin Murphy 002; Shaohua Sun; Rahul Gupta; Dekang Lin (WWW, 2014)

From Data Fusion to Knowledge Fusion. - Xin Luna Dong; Evgeniy Gabrilovich; Geremy Heitz; Wilko Horn; Kevin Murphy 002; Shaohua Sun; Wei Zhang 152 (Proc. VLDB Endow., 2014)

Probabilistic Label Relation Graphs with Ising Models. - Nan Ding 002; Jia Deng 001; Kevin P. Murphy; Hartmut Neven (ICCV, 2015)

Im2Calories: Towards an Automated Mobile Vision Food Diary. - Austin Myers; Nick Johnston; Vivek Rathod; Anoop Korattikara; Alexander N. Gorban; Nathan Silberman; Sergio Guadarrama; George Papandreou; Jonathan Huang; Kevin Murphy 002 (ICCV, 2015)

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 (ICCV, 2015)

TimeMachine: Timeline Generation for Knowledge-Base Entities. - Tim Althoff; Xin Luna Dong; Kevin Murphy 002; Safa Alai; Van Dang; Wei Zhang 152 (KDD, 2015)

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. - Jonathan Malmaud; Jonathan Huang; Vivek Rathod; Nicholas Johnston; Andrew Rabinovich; Kevin Murphy 002 (HLT-NAACL, 2015)

Bayesian dark knowledge. - Anoop Korattikara Balan; Vivek Rathod; Kevin P. Murphy; Max Welling (NIPS, 2015)

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (ICLR (Poster), 2015)

Efficient inference in occlusion-aware generative models of images. - Jonathan Huang; Kevin Murphy 002 (CoRR, 2015)

A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction. - Maximilian Nickel; Kevin Murphy 002; Volker Tresp; Evgeniy Gabrilovich (CoRR, 2015)

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. - George Papandreou; Liang-Chieh Chen; Kevin Murphy 002; Alan L. Yuille (CoRR, 2015)

Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. - Xin Luna Dong; Evgeniy Gabrilovich; Kevin Murphy 002; Van Dang; Wilko Horn; Camillo Lugaresi; Shaohua Sun; Wei Zhang 152 (Proc. VLDB Endow., 2015)

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. - Liang-Chieh Chen; Jonathan T. Barron; George Papandreou; Kevin Murphy 002; Alan L. Yuille (CVPR, 2016)

Generation and Comprehension of Unambiguous Object Descriptions. - Junhua Mao; Jonathan Huang; Alexander Toshev; Oana Camburu; Alan L. Yuille; Kevin Murphy 002 (CVPR, 2016)

Detecting Events and Key Actors in Multi-person Videos. - Vignesh Ramanathan; Jonathan Huang; Sami Abu-El-Haija; Alexander N. Gorban; Kevin Murphy 002; Li Fei-Fei 001 (CVPR, 2016)

Optimization of image description metrics using policy gradient methods. - Siqi Liu 002; Zhenhai Zhu; Ning Ye; Sergio Guadarrama; Kevin Murphy 002 (CoRR, 2016)

Learnable Structured Clustering Framework for Deep Metric Learning. - Hyun Oh Song; Stefanie Jegelka; Vivek Rathod; Kevin Murphy 002 (CoRR, 2016)

A Review of Relational Machine Learning for Knowledge Graphs. - Maximilian Nickel; Kevin Murphy 002; Volker Tresp; Evgeniy Gabrilovich (Proc. IEEE, 2016)

PixColor: Pixel Recursive Colorization. - Sergio Guadarrama; Ryan Dahl; David Bieber; Jonathon Shlens; Mohammad Norouzi 002; Kevin Murphy 002 (BMVC, 2017)

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. - Jonathan Huang; Vivek Rathod; Chen Sun 002; Menglong Zhu; Anoop Korattikara; Alireza Fathi; Ian Fischer; Zbigniew Wojna; Yang Song 009; Sergio Guadarrama; Kevin Murphy 002 (CVPR, 2017)

Towards Accurate Multi-person Pose Estimation in the Wild. - George Papandreou; Tyler Zhu; Nori Kanazawa; Alexander Toshev; Jonathan Tompson; Chris Bregler; Kevin Murphy 002 (CVPR, 2017)

Deep Metric Learning via Facility Location. - Hyun Oh Song; Stefanie Jegelka; Vivek Rathod; Kevin Murphy 002 (CVPR, 2017)

Context-Aware Captions from Context-Agnostic Supervision. - Ramakrishna Vedantam; Samy Bengio; Kevin Murphy 002; Devi Parikh; Gal Chechik (CVPR, 2017)

Improved Image Captioning via Policy Gradient optimization of SPIDEr. - Siqi Liu 002; Zhenhai Zhu; Ning Ye; Sergio Guadarrama; Kevin Murphy 002 (ICCV, 2017)

Attention-Based Extraction of Structured Information from Street View Imagery. - Zbigniew Wojna; Alexander N. Gorban; Dar-Shyang Lee; Kevin Murphy 002; Qian Yu; Yeqing Li; Julian Ibarz (ICDAR, 2017)

Deep Variational Information Bottleneck. - Alexander A. Alemi; Ian Fischer; Joshua V. Dillon; Kevin Murphy 002 (ICLR (Poster), 2017)

Deep Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Rif A. Saurous; Eugene Brevdo; Kevin Murphy 002; David M. Blei (ICLR (Poster), 2017)

Semantic Instance Segmentation via Deep Metric Learning. - Alireza Fathi; Zbigniew Wojna; Vivek Rathod; Peng Wang 001; Hyun Oh Song; Sergio Guadarrama; Kevin P. Murphy (CoRR, 2017)

An Information-Theoretic Analysis of Deep Latent-Variable Models. - Alexander A. Alemi; Ben Poole; Ian Fischer; Joshua V. Dillon; Rif A. Saurous; Kevin Murphy 002 (CoRR, 2017)

XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings. - Amelie Royer; Konstantinos Bousmalis; Stephan Gouws; Fred Bertsch; Inbar Mosseri; Forrester Cole; Kevin Murphy 002 (CoRR, 2017)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (CoRR, 2017)

Rethinking Spatiotemporal Feature Learning For Video Understanding. - Saining Xie; Chen Sun 002; Jonathan Huang; Zhuowen Tu; Kevin Murphy 002 (CoRR, 2017)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Maxim Neumann; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (ECCV (1), 2018)

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. - George Papandreou; Tyler Zhu; Liang-Chieh Chen; Spyros Gidaris; Jonathan Tompson; Kevin Murphy 002 (ECCV (14), 2018)

Actor-Centric Relation Network. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Kevin Murphy 002; Rahul Sukthankar; Cordelia Schmid (ECCV (11), 2018)

Tracking Emerges by Colorizing Videos. - Carl Vondrick; Abhinav Shrivastava; Alireza Fathi; Sergio Guadarrama; Kevin Murphy 002 (ECCV (13), 2018)

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. - Saining Xie; Chen Sun 002; Jonathan Huang; Zhuowen Tu; Kevin Murphy 002 (ECCV (15), 2018)

Generative Models of Visually Grounded Imagination. - Ramakrishna Vedantam; Ian Fischer; Jonathan Huang; Kevin Murphy 002 (ICLR (Poster), 2018)

Fixing a Broken ELBO. - Alexander A. Alemi; Ben Poole; Ian Fischer; Joshua V. Dillon; Rif A. Saurous; Kevin Murphy 002 (ICML, 2018)

Modeling Uncertainty with Hedged Instance Embedding. - Seong Joon Oh; Kevin Murphy 002; Jiyan Pan; Joseph Roth; Florian Schroff; Andrew C. Gallagher (CoRR, 2018)

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Relational Action Forecasting. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Rahul Sukthankar; Kevin Murphy 002; Cordelia Schmid (CVPR, 2019)

Composing Text and Image for Image Retrieval - an Empirical Odyssey. - Nam Vo; Lu Jiang 004; Chen Sun 002; Kevin Murphy 002; Li-Jia Li 001; Li Fei-Fei 001; James Hays (CVPR, 2019)

Diverse Generation for Multi-Agent Sports Games. - Raymond A. Yeh; Alexander G. Schwing; Jonathan Huang; Kevin Murphy 002 (CVPR, 2019)

VideoBERT: A Joint Model for Video and Language Representation Learning. - Chen Sun 002; Austin Myers; Carl Vondrick; Kevin Murphy 002; Cordelia Schmid (ICCV, 2019)

Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. - Steven Hickson; Karthik Raveendran; Alireza Fathi; Kevin Murphy 002; Irfan A. Essa (ICCV Workshops, 2019)

Modeling Uncertainty with Hedged Instance Embeddings. - Seong Joon Oh; Kevin P. Murphy; Jiyan Pan; Joseph Roth; Florian Schroff; Andrew C. Gallagher (ICLR (Poster), 2019)

Stochastic Prediction of Multi-Agent Interactions from Partial Observations. - Chen Sun 002; Per Karlsson; Jiajun Wu 001; Joshua B. Tenenbaum; Kevin Murphy 002 (ICLR (Poster), 2019)

Unsupervised Discovery of Parts, Structure, and Dynamics. - Zhenjia Xu; Zhijian Liu; Chen Sun 002; Kevin Murphy 002; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (ICLR (Poster), 2019)

NAS-Bench-101: Towards Reproducible Neural Architecture Search. - Chris Ying; Aaron Klein; Eric Christiansen; Esteban Real; Kevin Murphy 002; Frank Hutter (ICML, 2019)

Unsupervised learning of object structure and dynamics from videos. - Matthias Minderer; Chen Sun 002; Ruben Villegas; Forrester Cole; Kevin P. Murphy; Honglak Lee (NeurIPS, 2019)

Contrastive Bidirectional Transformer for Temporal Representation Learning. - Chen Sun 002; Fabien Baradel; Kevin Murphy 002; Cordelia Schmid (CoRR, 2019)

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings. - Amelie Royer; Konstantinos Bousmalis; Stephan Gouws; Fred Bertsch; Inbar Mosseri; Forrester Cole; Kevin Murphy 002 (Domain Adaptation for Visual Understanding, 2020)

Regularized Autoencoders via Relaxed Injective Probability Flow. - Abhishek Kumar; Ben Poole; Kevin Murphy 002 (AISTATS, 2020)

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. - Junwei Liang 001; Lu Jiang 004; Kevin P. Murphy; Ting Yu 003; Alexander G. Hauptmann (CVPR, 2020)

A view of estimation of distribution algorithms through the lens of expectation-maximization. - David H. Brookes; Akosua Busia; Clara Fannjiang; Kevin Murphy 002; Jennifer Listgarten (GECCO Companion, 2020)

Model-based reinforcement learning for biological sequence design. - Christof Angermüller; David Dohan; David Belanger 002; Ramya Deshpande; Kevin Murphy 002; Lucy J. Colwell (ICLR, 2020)

Population-Based Black-Box Optimization for Biological Sequence Design. - Christof Angermüller; David Belanger 002; Andreea Gane; Zelda Mariet; David Dohan; Kevin Murphy 002; Lucy J. Colwell; D. Sculley (ICML, 2020)

Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems. - Zhe Dong; Bryan A. Seybold; Kevin Murphy 002; Hung H. Bui (ICML, 2020)

Amortized Bayesian Optimization over Discrete Spaces. - Kevin Swersky; Yulia Rubanova; David Dohan; Kevin Murphy 002 (UAI, 2020)

Risk score learning for COVID-19 contact tracing apps. - Kevin Murphy 002; Abhishek Kumar; Stylianos Serghiou (MLHC, 2021)

Risk score learning for COVID-19 contact tracing apps. - Kevin Murphy 002; Abhishek Kumar; Stelios Serghiou (CoRR, 2021)

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. - Zachary Nado; Neil Band; Mark Collier; Josip Djolonga; Michael W. Dusenberry; Sebastian Farquhar; Angelos Filos; Marton Havasi; Rodolphe Jenatton; Ghassen Jerfel; Jeremiah Z. Liu; Zelda Mariet; et al. (CoRR, 2021)

Efficient Online Bayesian Inference for Neural Bandits. - Gerardo Duran-Martin; Aleyna Kara; Kevin Murphy 002 (AISTATS, 2022)

Plex: Towards Reliability using Pretrained Large Model Extensions. - Dustin Tran; Jeremiah Z. Liu; Michael W. Dusenberry; Du Phan; Mark Collier; Jie Ren 006; Kehang Han; Zi Wang; Zelda Mariet; Huiyi Hu; Neil Band; Tim G. J. Rudner; et al. (CoRR, 2022)

Language Model Cascades. - David Dohan; Winnie Xu; Aitor Lewkowycz; Jacob Austin; David Bieber; Raphael Gontijo Lopes; Yuhuai Wu; Henryk Michalewski; Rif A. Saurous; Jascha Sohl-Dickstein; Kevin Murphy 002; Charles Sutton (CoRR, 2022)

Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations. - Qingyao Sun; Kevin Murphy 002; Sayna Ebrahimi; Alexander D'Amour (CoRR, 2022)

Machine Learning on Graphs: A Model and Comprehensive Taxonomy. - Ines Chami; Sami Abu-El-Haija; Bryan Perozzi; Christopher Ré; Kevin Murphy 002 (J. Mach. Learn. Res., 2022)

Low-rank extended Kalman filtering for online learning of neural networks from streaming data. - Peter G. Chang; Gerardo Duràn-Martín; Alexander Y. Shestopaloff; Matt Jones 002; Kevin Patrick Murphy (CoLLAs, 2023)

Muse: Text-To-Image Generation via Masked Generative Transformers. - Huiwen Chang; Han Zhang 010; Jarred Barber; Aaron Maschinot; José Lezama; Lu Jiang 004; Ming-Hsuan Yang 001; Kevin Patrick Murphy; William T. Freeman; Michael Rubinstein; Yuanzhen Li; Dilip Krishnan (ICML, 2023)

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations. - Qingyao Sun; Kevin P. Murphy; Sayna Ebrahimi; Alexander D'Amour (NeurIPS, 2023)

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. - Lijun Yu; Yong Cheng; Zhiruo Wang; Vivek Kumar; Wolfgang Macherey; Yanping Huang; David A. Ross; Irfan Essa; Yonatan Bisk; Ming-Hsuan Yang 001; Kevin P. Murphy; Alexander G. Hauptmann; et al. (NeurIPS, 2023)

Outlier-robust Kalman Filtering through Generalised Bayes. - Gerardo Duran-Martin; Matías Altamirano; Alexander Y. Shestopaloff; Leandro Sánchez-Betancourt; Jeremias Knoblauch; Matt Jones 002; François-Xavier Briol; Kevin Patrick Murphy (ICML, 2024)

Bayesian Online Natural Gradient (BONG). - Matt Jones 002; Peter G. Chang; Kevin P. Murphy (NeurIPS, 2024)

What type of inference is planning? - Miguel Lázaro-Gredilla; Li Yang Ku; Kevin P. Murphy; Dileep George (NeurIPS, 2024)

DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors. - Joseph Ortiz; Antoine Dedieu; Wolfgang Lehrach; J. Swaroop Guntupalli; Carter Wendelken; Ahmad Humayun; Sivaramakrishnan Swaminathan; Guangyao Zhou; Miguel Lázaro-Gredilla; Kevin P. Murphy (NeurIPS, 2024)

EM Distillation for One-step Diffusion Models. - Sirui Xie; Zhisheng Xiao; Diederik P. Kingma; Tingbo Hou; Ying Nian Wu; Kevin P. Murphy; Tim Salimans; Ben Poole; Ruiqi Gao (NeurIPS, 2024)

BlackJAX: Composable Bayesian inference in JAX. - Alberto Cabezas; Adrien Corenflos; Junpeng Lao; Rémi Louf; Antoine Carnec; Kaustubh Chaudhari; Reuben Cohn-Gordon; Jeremie Coullon; Wei Deng; Sam Duffield; Gerardo Duràn-Martín; Marcin Elantkowski; et al. (CoRR, 2024)

BONE: a unifying framework for Bayesian online learning in non-stationary environments. - Gerardo Duran-Martin; Leandro Sánchez-Betancourt; Alexander Y. Shestopaloff; Kevin Murphy 002 (CoRR, 2024)

A unifying framework for generalised Bayesian online learning in non-stationary environments. - Gerardo Duran-Martin; Leandro Sánchez-Betancourt; Alexander Y. Shestopaloff; Kevin Patrick Murphy (Trans. Mach. Learn. Res., 2025)

Diffusion Model Predictive Control. - Guangyao Zhou; Sivaramakrishnan Swaminathan; Rajkumar Vasudeva Raju; J. Swaroop Guntupalli; Wolfgang Lehrach; Joseph Ortiz; Antoine Dedieu; Miguel Lázaro-Gredilla; Kevin Patrick Murphy (Trans. Mach. Learn. Res., 2025)

Improving Transformer World Models for Data-Efficient RL. - Antoine Dedieu; Joseph Ortiz; Xinghua Lou; Carter Wendelken; Wolfgang Lehrach; J. Swaroop Guntupalli; Miguel Lázaro-Gredilla; Kevin Patrick Murphy (CoRR, 2025)

Distributional Diffusion Models with Scoring Rules. - Valentin De Bortoli; Alexandre Galashov; J. Swaroop Guntupalli; Guangyao Zhou; Kevin Murphy 002; Arthur Gretton; Arnaud Doucet (CoRR, 2025)

Dynamax: A Python package for probabilistic state space modeling with JAX. - Scott W. Linderman; Peter G. Chang; Giles Harper-Donnelly; Aleyna Kara; Xinglong Li; Gerardo Duran-Martin; Kevin Murphy 002 (J. Open Source Softw., 2025)

Scalable Generalized Bayesian Online Neural Network Training for Sequential Decision Making. - Gerardo Duran-Martin; Leandro Sánchez-Betancourt; Álvaro Cartea; Kevin Murphy 002 (CoRR, 2025)