Kimberly L. Stachenfeld

24 papers A* 5Misc 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Relational reasoning and inductive bias in transformers trained on a transitive inference task. CoRR Jesse P. Geerts, Stephanie Chan, Claudia Clopath, Kimberly L. Stachenfeld
2024	J	`jnl`	How does the primate brain combine generative and discriminative computations in vision? CoRR Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf Haefner, Leyla Isik, Joshua B. Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly L. Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte
2024	A*	`conf`	Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. NeurIPS Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, Will Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
2024	J	`jnl`	Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. CoRR Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
2024	J	`jnl`	Scaling Face Interaction Graph Networks to Real World Scenes. CoRR Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen
2023	A*	`conf`	A generative model of the hippocampal formation trained with theta driven local learning rules. NeurIPS Tom M. George, Kimberly L. Stachenfeld, Caswell Barry, Claudia Clopath, Tomoki Fukai
2023	J	`jnl`	Diffusion Generative Inverse Design. CoRR Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R. Allen, Peter W. Battaglia, Arnaud Doucet, Kimberly L. Stachenfeld
2023	J	`jnl`	Learning 3D Particle-based Simulators from RGB-D Videos. CoRR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen
2023	J	`jnl`	Predictive auxiliary objectives in deep RL mimic learning in the brain. CoRR Ching Fang, Kimberly L. Stachenfeld
2022	J	`jnl`	Compositional Sequence Generation in the Entorhinal-Hippocampal System. Entropy Daniel C. McNamee, Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel J. Gershman
2022	Misc	`conf`	Graph network simulators can learn discontinuous, rigid contact dynamics. CoRL Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	A*	`conf`	Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. NeurIPS Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
2022	A*	`conf`	Learned Simulators for Turbulence. ICLR Kimberly L. Stachenfeld, Drummond Buschman Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
2022	J	`jnl`	Physical Design using Differentiable Learned Simulators. CoRR Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
2021	J	`jnl`	Graph Networks with Spectral Message Passing. CoRR Kimberly L. Stachenfeld, Jonathan Godwin, Peter W. Battaglia
2021	J	`jnl`	Learned Coarse Models for Efficient Turbulence Simulation. CoRR 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
2019	J	`jnl`	Object-oriented state editing for HRL. CoRR Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick
2019	J	`jnl`	Probabilistic Successor Representations with Kalman Temporal Differences. CoRR Jesse P. Geerts, Kimberly L. Stachenfeld, Neil Burgess
2019	—	`conf`	Spectral Inference Networks: Unifying Deep and Spectral Learning. ICLR (Poster) David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
2019	A*	`conf`	Structured agents for physical construction. ICML Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2019	J	`jnl`	Structured agents for physical construction. CoRR Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2018	J	`jnl`	A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. NeuroImage Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman
2018	J	`jnl`	Spectral Inference Networks: Unifying Spectral Methods With Deep Learning. CoRR David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
2014	—	`conf`	Design Principles of the Hippocampal Cognitive Map. NIPS Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel Gershman