Kimberly L. Stachenfeld

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Real World Scenes

Top Venues

Publications

Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. CoRR (2024)
Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen
Scaling Face Interaction Graph Networks to Real World Scenes. CoRR (2024)
Ching Fang, Kimberly L. Stachenfeld
Predictive auxiliary objectives in deep RL mimic learning in the brain. CoRR (2023)
Tom M. George, Kimberly L. Stachenfeld, Caswell Barry, Claudia Clopath, Tomoki Fukai
A generative model of the hippocampal formation trained with theta driven local learning rules. NeurIPS (2023)
William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen
Learning 3D Particle-based Simulators from RGB-D Videos. CoRR (2023)
Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R. Allen, Peter W. Battaglia, Arnaud Doucet, Kimberly L. Stachenfeld
Diffusion Generative Inverse Design. CoRR (2023)
Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
Physical Design using Differentiable Learned Simulators. CoRR (2022)
Daniel C. McNamee, Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel J. Gershman
Compositional Sequence Generation in the Entorhinal-Hippocampal System. Entropy 24 (12) (2022)
Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. NeurIPS (2022)
Kimberly L. Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
Learned Coarse Models for Efficient Turbulence Simulation. CoRR (2021)
Kimberly L. Stachenfeld, Jonathan Godwin, Peter W. Battaglia
Graph Networks with Spectral Message Passing. CoRR (2021)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. CoRR (2019)
David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
Spectral Inference Networks: Unifying Deep and Spectral Learning. ICLR (Poster) (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. ICML (2019)
Jesse P. Geerts, Kimberly L. Stachenfeld, Neil Burgess
Probabilistic Successor Representations with Kalman Temporal Differences. CoRR (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick
Object-oriented state editing for HRL. CoRR (2019)
Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. NeuroImage 180 (Part) (2018)
David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
Spectral Inference Networks: Unifying Spectral Methods With Deep Learning. CoRR (2018)
Kimberly L. Stachenfeld, Matthew Botvinick, Samuel Gershman
Design Principles of the Hippocampal Cognitive Map. NIPS (2014)