Kimberly L. Stachenfeld

According to our database, Kimberly L. Stachenfeld authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scaling Face Interaction Graph Networks to Real World Scenes.

Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen

CoRR, 2024

2023

Learning 3D Particle-based Simulators from RGB-D Videos.

William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen

CoRR, 2023

Predictive auxiliary objectives in deep RL mimic learning in the brain.

Ching Fang, Kimberly L. Stachenfeld

CoRR, 2023

Diffusion Generative Inverse Design.

Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R. Allen, Peter W. Battaglia, Arnaud Doucet, Kimberly L. Stachenfeld

CoRR, 2023

A generative model of the hippocampal formation trained with theta driven local learning rules.

Tom M. George, Kimberly L. Stachenfeld, Caswell Barry, Claudia Clopath, Tomoki Fukai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Compositional Sequence Generation in the Entorhinal-Hippocampal System.

Daniel C. McNamee, Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel J. Gershman

Entropy, December, 2022

Physical Design using Differentiable Learned Simulators.

Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff

CoRR, 2022

Inverse Design for Fluid-Structure Interactions using Graph Network Simulators.

Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learned Simulators for Turbulence.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph network simulators can learn discontinuous, rigid contact dynamics.

Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff

Proceedings of the Conference on Robot Learning, 2022

2021

Learned Coarse Models for Efficient Turbulence Simulation.

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

CoRR, 2021

Graph Networks with Spectral Message Passing.

Kimberly L. Stachenfeld, Jonathan Godwin, Peter W. Battaglia

CoRR, 2021

2019

Object-oriented state editing for HRL.

Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick

CoRR, 2019

Probabilistic Successor Representations with Kalman Temporal Differences.

Jesse P. Geerts, Kimberly L. Stachenfeld, Neil Burgess

CoRR, 2019

Structured agents for physical construction.

Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick

Proceedings of the 36th International Conference on Machine Learning, 2019

Spectral Inference Networks: Unifying Deep and Spectral Learning.

David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A probabilistic approach to discovering dynamic full-brain functional connectivity patterns.

Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman

NeuroImage, 2018

Spectral Inference Networks: Unifying Spectral Methods With Deep Learning.

David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld

CoRR, 2018

2014

Design Principles of the Hippocampal Cognitive Map.

Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel Gershman

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014