Kelsey R. Allen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

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Real World Scenes

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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)
Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR (2024)
William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen
Learning 3D Particle-based Simulators from RGB-D Videos. ICLR (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)
Tony Chen, Kelsey R. Allen, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
"Just In Time" Representations for Mental Simulation in Intuitive Physics. CogSci (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, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
Learning rigid dynamics with face interaction graph networks. ICLR (2023)
Haoliang Wang, Kelsey R. Allen, Ed Vul, Judith E. Fan
Generalizing physical prediction by composing forces and objects. CogSci (2022)
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)
Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
Learning rigid dynamics with face interaction graph networks. CoRR (2022)
Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
Graph network simulators can learn discontinuous, rigid contact dynamics. CoRL (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)
Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz
Using Games to Understand Intelligence. CogSci (2021)
Kelsey R. Allen, Kevin A. Smith, Laura-Ashleigh Bird, Josh Tenenbaum, Tamar R. Makin, Dorothy Cowie
Meta-strategy learning in physical problem-solving: the effect of embodied experience. CogSci (2021)
Zachary Davis, Kelsey R. Allen, Tobias Gerstenberg
Who went fishing? Inferences from social evaluations. CogSci (2021)
João Loula, Kelsey R. Allen, Josh Tenenbaum
Combining rules and simulation to explain infant physical learning. CogSci (2021)
Kelsey R. Allen, Kevin Smith, Ulyana Piterbarg, Robert Chen, Josh Tenenbaum
Abstract strategy learning underlies flexible transfer in physical problem solving. CogSci (2020)
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI (2020)
João Loula, Kelsey R. Allen, Tom Silver, Josh Tenenbaum
Learning constraint-based planning models from demonstrations. IROS (2020)
João Loula, Kelsey R. Allen, Josh Tenenbaum
A Task and Motion Approach to the Development of Planning. CogSci (2020)
Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. CoRR (2019)
Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum
Infinite Mixture Prototypes for Few-shot Learning. ICML (2019)
João Loula, Tom Silver, Kelsey R. Allen, Josh Tenenbaum
Discovering a symbolic planning language from continuous experience. CogSci (2019)
Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. IJCAI (2019)
Victoria Xia, Zi Wang, Kelsey R. Allen, Tom Silver, Leslie Pack Kaelbling
Learning sparse relational transition models. ICLR (Poster) (2019)
Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum
Infinite Mixture Prototypes for Few-Shot Learning. CoRR (2019)
Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
Rapid Trial-and-Error Learning in Physical Problem Solving. CogSci (2019)
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
Few-Shot Bayesian Imitation Learning with Logic over Programs. CoRR (2019)
Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Robotics: Science and Systems (2018)
Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen, Josh Tenenbaum, J. Zico Kolter
End-to-End Differentiable Physics for Learning and Control. NeurIPS (2018)
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
Relational inductive biases, deep learning, and graph networks. CoRR (2018)
Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling
Residual Policy Learning. CoRR (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CoRR (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CogSci (2018)
Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
Simulation and heuristics in flexible tool use. CogSci (2017)
Kelsey R. Allen, Ilker Yildirim, Josh Tenenbaum
Integrating identification and perception: A case study of familiar and unfamiliar face processing. CogSci (2016)
Kelsey R. Allen, Julian Jara-Ettinger, Tobias Gerstenberg, Max Kleiman-Weiner, Joshua B. Tenenbaum
Go fishing! Responsibility judgments when cooperation breaks down. CogSci (2015)
Kelsey R. Allen, Giuseppe Carenini, Raymond T. Ng
Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure. EMNLP (2014)