Kelsey R. Allen

54 papers A* 11A 1B 15Misc 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Just in Time" World Modeling Supports Human Planning and Reasoning. CoRR Tony Chen, Samuel J. Cheyette, Kelsey R. Allen, Joshua B. Tenenbaum, Kevin A. Smith
2026	J	`jnl`	3DSPA: A 3D Semantic Point Autoencoder for Evaluating Video Realism. CoRR Bhavik Chandna, Kelsey R. Allen
2026	J	`jnl`	AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games. CoRR Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Ivy Zhao, Nathan Cloos, Kelsey R. Allen, Thomas L. Griffiths, Katherine M. Collins, José Hernández-Orallo, Phillip Isola, Samuel J. Gershman, Joshua B. Tenenbaum
2026	J	`jnl`	Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models. CoRR Sasha Robinson, Kerem Oktar, Katherine M. Collins, Ilia Sucholutsky, Kelsey R. Allen
2025	J	`jnl`	Assessing Adaptive World Models in Machines with Novel Games. CoRR Lance Ying, Katherine M. Collins, Prafull Sharma, Cédric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, François Chollet, Kelsey R. Allen, Joshua B. Tenenbaum
2025	J	`jnl`	Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models. CoRR Linlu Qiu, Fei Sha, Kelsey R. Allen, Yoon Kim, Tal Linzen, Sjoerd van Steenkiste
2025	B	`conf`	Children use both controllability and variability for generalization. CogSci Eunice Yiu, Anisa Noor Majhi, Shiry Ginosar, Kelsey R. Allen, Alison Gopnik
2025	A*	`conf`	Direct Motion Models for Assessing Generated Videos. ICML Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Direct Motion Models for Assessing Generated Videos. CoRR Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Empowerment Gain and Causal Model Construction: Children and adults are sensitive to controllability and variability in their causal interventions. CoRR Eunice Yiu, Kelsey R. Allen, Shiry Ginosar, Alison Gopnik
2025	J	`jnl`	Neural USD: An object-centric framework for iterative editing and control. CoRR Alejandro Escontrela, Shrinu Kushagra, Sjoerd van Steenkiste, Yulia Rubanova, Aleksander Holynski, Kelsey R. Allen, Kevin Murphy, Thomas Kipf
2025	—	`conf`	Position: When Incentives Backfire, Data Stops Being Human. ICML (Position Papers) Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro, Kelsey R. Allen, Sewoong Oh
2024	A*	`conf`	Learning 3D Particle-based Simulators from RGB-D Videos. ICLR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen
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	A*	`conf`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. NeurIPS Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Scaling 4D Representations. CoRR João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
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	B	`conf`	"Just In Time" Representations for Mental Simulation in Intuitive Physics. CogSci Tony Chen, Kelsey R. Allen, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
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	A*	`conf`	Learning rigid dynamics with face interaction graph networks. ICLR Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	B	`conf`	Generalizing physical prediction by composing forces and objects. CogSci Haoliang Wang, Kelsey R. Allen, Ed Vul, Judith E. Fan
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	J	`jnl`	Learning rigid dynamics with face interaction graph networks. CoRR Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
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	B	`conf`	Combining rules and simulation to explain infant physical learning. CogSci João Loula, Kelsey R. Allen, Josh Tenenbaum
2021	B	`conf`	Meta-strategy learning in physical problem-solving: the effect of embodied experience. CogSci Kelsey R. Allen, Kevin A. Smith, Laura-Ashleigh Bird, Josh Tenenbaum, Tamar R. Makin, Dorothy Cowie
2021	B	`conf`	Using Games to Understand Intelligence. CogSci Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz
2021	B	`conf`	Who went fishing? Inferences from social evaluations. CogSci Zachary Davis, Kelsey R. Allen, Tobias Gerstenberg
2020	B	`conf`	A Task and Motion Approach to the Development of Planning. CogSci João Loula, Kelsey R. Allen, Josh Tenenbaum
2020	B	`conf`	Abstract strategy learning underlies flexible transfer in physical problem solving. CogSci Kelsey R. Allen, Kevin Smith, Ulyana Piterbarg, Robert Chen, Josh Tenenbaum
2020	A*	`conf`	Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
2020	A	`conf`	Learning constraint-based planning models from demonstrations. IROS João Loula, Kelsey R. Allen, Tom Silver, Josh Tenenbaum
2019	A*	`conf`	Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. IJCAI Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2019	B	`conf`	Discovering a symbolic planning language from continuous experience. CogSci João Loula, Tom Silver, Kelsey R. Allen, Josh Tenenbaum
2019	J	`jnl`	Few-Shot Bayesian Imitation Learning with Logic over Programs. CoRR Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
2019	J	`jnl`	Infinite Mixture Prototypes for Few-Shot Learning. CoRR Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum
2019	A*	`conf`	Infinite Mixture Prototypes for Few-shot Learning. ICML Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum
2019	—	`conf`	Learning sparse relational transition models. ICLR (Poster) Victoria Xia, Zi Wang, Kelsey R. Allen, Tom Silver, Leslie Pack Kaelbling
2019	B	`conf`	Rapid Trial-and-Error Learning in Physical Problem Solving. CogSci Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
2019	J	`jnl`	The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. CoRR Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2018	—	`conf`	Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Robotics: Science and Systems Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2018	A*	`conf`	End-to-End Differentiable Physics for Learning and Control. NeurIPS Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen, Josh Tenenbaum, J. Zico Kolter
2018	B	`conf`	Relational inductive bias for physical construction in humans and machines. CogSci Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Relational inductive bias for physical construction in humans and machines. CoRR Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Relational inductive biases, deep learning, and graph networks. CoRR 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 M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
2018	J	`jnl`	Residual Policy Learning. CoRR Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling
2017	B	`conf`	Simulation and heuristics in flexible tool use. CogSci Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
2016	B	`conf`	Integrating identification and perception: A case study of familiar and unfamiliar face processing. CogSci Kelsey R. Allen, Ilker Yildirim, Josh Tenenbaum
2015	B	`conf`	Go fishing! Responsibility judgments when cooperation breaks down. CogSci Kelsey R. Allen, Julian Jara-Ettinger, Tobias Gerstenberg, Max Kleiman-Weiner, Joshua B. Tenenbaum
2014	A*	`conf`	Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure. EMNLP Kelsey R. Allen, Giuseppe Carenini, Raymond T. Ng