Kevin Murphy

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Bayesian Inference

Top Venues

Publications

Kevin Murphy, Joao C. V. Soares, Justin K. Yim, Dustin Nottage, Ahmet Soylemezoglu, Joao Ramos
Cooperative Modular Manipulation with Numerous Cable-Driven Robots for Assistive Construction and Gap Crossing. CoRR (2024)
Chaoqi Wang, Yuxin Chen, Kevin Murphy
Model-based Policy Optimization under Approximate Bayesian Inference. AISTATS (2024)
Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lázaro-Gredilla, Kevin Murphy
Model Predictive Simulation Using Structured Graphical Models and Transformers. CoRR (2024)
Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen
Don't Be Pessimistic Too Early: Look K Steps Ahead! AISTATS (2024)
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, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov
BlackJAX: Composable Bayesian inference in JAX. CoRR (2024)
Tatsiana Mikulchyk, Kevin Murphy, John Walsh, Suzanne Martin, Dervil Cody, Izabela Naydenova
Improving the Angular Visibility of Photopolymer-Based Reflection Holograms for Sensing Applications. Sensors 23 (9) (2023)
Vincent Fortuin, Yingzhen Li, Kevin Murphy, Stephan Mandt, Laura Manduchi
Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072). Dagstuhl Reports 13 (2) (2023)
Peter Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoRR (2023)
Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations. CoRR (2022)
Amartya Purushottam, Yeongtae Jung, Kevin Murphy, Donghoon Baek, Joao Ramos
Hands-free Telelocomotion of a Wheeled Humanoid. IROS (2022)
Kevin Murphy, Dylan Charter, Dylan Pasley, Israel Lopez-Toldeo, Ahmet Soylemezoglu
Towards Modularity: Integration Strategy of Radar into a LiDAR Based Robotics Mapping Platform. MESAS (2022)
Dustin Tran, Jeremiah Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR (2022)
Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy
Efficient Online Bayesian Inference for Neural Bandits. AISTATS (2022)
Amartya Purushottam, Yeongtae Jung, Kevin Murphy, Donghoon Baek, Joao Ramos
Hands-free Telelocomotion of a Wheeled Humanoid toward Dynamic Mobile Manipulation via Teleoperation. CoRR (2022)
Zeel B. Patel, Nipun Batra, Kevin Murphy
Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning. CoRR (2022)
Manil Maskey, Alfreda Hall, Kevin Murphy, Compton Tucker, Will McCarty, Aaron Kaulfus
Commercial Smallsat Data Acquisition: Program Update. IGARSS (2021)
Joao Ramos, Yanran Ding, Young-Woo Sim, Kevin Murphy, Daniel Block
HOPPY: An Open-source Kit for Education with Dynamic Legged Robots. IROS (2021)
Shinichi Sobue, Yves-Louis Desnos, Kevin Murphy, Anca Anghelea, Manil Maskey, Michael J. Falkowski
Tri-Agency Cooperation to Identify the Impact of COVID-19. IGARSS (2021)
Manil Maskey, Michael J. Falkowski, Kevin Murphy, Olaf Veerman, Ricardo Mestre, Iksha Gurung, Muthukumaran Ramasubramanian, Lillianne Thomas, Zhuangfang Yi, Drew Bollinger, Abigail Seadler, Yvonne Ivey
Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard. IGARSS (2021)
Sunyu Wang, Kevin Murphy, Dillan Kenney, Joao Ramos
A Comparison Between Joint Space and Task Space Mappings for Dynamic Teleoperation of an Anthropomorphic Robotic Arm in Reaction Tests. ICRA (2021)
Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy
Efficient Online Bayesian Inference for Neural Bandits. CoRR (2021)
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
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR (2021)
Joao Ramos, Yanran Ding, Young-Woo Sim, Kevin Murphy, Daniel Block
HOPPY: An Open-source Kit for Education with Dynamic Legged Robots. CoRR (2021)
Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy
Amortized Bayesian Optimization over Discrete Spaces. UAI (2020)
Joao Ramos, Yanran Ding, Young-Woo Sim, Kevin Murphy, Daniel Block
HOPPY: An open-source and low-cost kit for dynamic robotics education. CoRR (2020)
Christof Angermüller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell
Model-based reinforcement learning for biological sequence design. ICLR (2020)
Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
Population-Based Black-Box Optimization for Biological Sequence Design. CoRR (2020)
Sunyu Wang, Kevin Murphy, Dillan Kenney, Joao Ramos
A Comparison Between Joint Space and Task Space Mappings for Dynamic Teleoperation of an Anthropomorphic Robotic Arm in Reaction Tests. CoRR (2020)
Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
Population-Based Black-Box Optimization for Biological Sequence Design. ICML (2020)
Michael Zhu, Kevin Murphy, Rico Jonschkowski
Towards Differentiable Resampling. CoRR (2020)
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization. CoRR (2019)
Yiding Jiang, Shixiang Gu, Kevin Murphy, Chelsea Finn
Language as an Abstraction for Hierarchical Deep Reinforcement Learning. NeurIPS (2019)
Yiding Jiang, Shixiang Gu, Kevin Murphy, Chelsea Finn
Language as an Abstraction for Hierarchical Deep Reinforcement Learning. CoRR (2019)
Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy
XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings. CoRR (2017)
Kevin Murphy, Jeffrey Pennington, Aaron N. Browne, Byron Ruth, Ritu Khare, LeMar Davidson, Patricia K. Morris, Levon H. Utidjian, Charles Bailey
Clinical Data Research Network Lessons Learned. CRI (2016)
Aaron N. Browne, Byron Ruth, Kevin Murphy, Jeffrey W. Pennington
Data Model Interoperability via Standard Representation. CRI (2016)
Leanne C. McKay, Hugo D. Critchley, Kevin Murphy, Richard S. J. Frackowiak, Douglas R. Corfield
Sub-cortical and brainstem sites associated with chemo-stimulated increases in ventilation in humans. NeuroImage 49 (3) (2010)
Kevin Murphy
Author-perceived Quality Characteristics of Science, Technology and Medicine (STM) Journals. Learn. Publ. 22 (1) (2009)
Kevin Murphy, M. Pamela Neely
An Exploratory Study on the Tradeoffs of Improving Intrinsic Versus Representational Data Quality in Decision-Making Outcomes. ICIQ (2008)