Murphy, Kevin Patrick

15 publications

ICLR 2026 Code World Models for General Game Playing Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin Patrick Murphy

TMLR 2025 A Unifying Framework for Generalised Bayesian Online Learning in Non-Stationary Environments Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alex Shestopaloff, Kevin Patrick Murphy

TMLR 2025 Diffusion Model Predictive Control Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lazaro-Gredilla, Kevin Patrick Murphy

ICML 2025 Direct Motion Models for Assessing Generated Videos 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

ICML 2025 Distributional Diffusion Models with Scoring Rules Valentin De Bortoli, Alexandre Galashov, J Swaroop Guntupalli, Guangyao Zhou, Kevin Patrick Murphy, Arthur Gretton, Arnaud Doucet

ICML 2025 Improving Transformer World Models for Data-Efficient RL Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, J Swaroop Guntupalli, Wolfgang Lehrach, Miguel Lazaro-Gredilla, Kevin Patrick Murphy

ICLRW 2025 Improving Transformer World Models for Data-Efficient RL Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, Wolfgang Lehrach, J Swaroop Guntupalli, Miguel Lazaro-Gredilla, Kevin Patrick Murphy

NeurIPS 2025 Martingale Posterior Neural Networks for Fast Sequential Decision Making Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alvaro Cartea, Kevin Patrick Murphy

ICML 2025 Towards a Mechanistic Explanation of Diffusion Model Generalization Matthew Niedoba, Berend Zwartsenberg, Kevin Patrick Murphy, Frank Wood

ICML 2024 Outlier-Robust Kalman Filtering Through Generalised Bayes Gerardo Duran-Martin, Matias Altamirano, Alex Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, Francois-Xavier Briol, Kevin Patrick Murphy

CoLLAs 2023 Low-Rank Extended Kalman Filtering for Online Learning of Neural Networks from Streaming Data Peter G. Chang, Gerardo Durán-Martín, Alex Shestopaloff, Matt Jones, Kevin Patrick Murphy

ICMLW 2023 Model-Based Policy Optimization Under Approximate Bayesian Inference Chaoqi Wang, Yuxin Chen, Kevin Patrick Murphy

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

ICMLW 2022 Plex: Towards Reliability Using Pretrained Large Model Extensions Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan, Kevin Patrick Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

NeurIPSW 2022 Reliability Benchmarks for Image Segmentation E. Kelly Buchanan, Michael W Dusenberry, Jie Ren, Kevin Patrick Murphy, Balaji Lakshminarayanan, Dustin Tran