Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure. - Kelsey R. Allen; Giuseppe Carenini; Raymond T. Ng (EMNLP, 2014)

Go fishing! Responsibility judgments when cooperation breaks down. - Kelsey R. Allen; Julian Jara-Ettinger; Tobias Gerstenberg; Max Kleiman-Weiner; Joshua B. Tenenbaum (CogSci, 2015)

Integrating identification and perception: A case study of familiar and unfamiliar face processing. - Kelsey R. Allen; Ilker Yildirim; Josh Tenenbaum 001 (CogSci, 2016)

Simulation and heuristics in flexible tool use. - Kelsey R. Allen; Kevin A. Smith 001; Josh Tenenbaum 001 (CogSci, 2017)

Relational inductive bias for physical construction in humans and machines. - Jessica B. Hamrick; Kelsey R. Allen; Victor Bapst; Tina Zhu; Kevin R. McKee; Josh Tenenbaum 001; Peter W. Battaglia (CogSci, 2018)

End-to-End Differentiable Physics for Learning and Control. - Filipe de Avila Belbute-Peres; Kevin A. Smith 001; Kelsey R. Allen; Josh Tenenbaum 001; J. Zico Kolter (NeurIPS, 2018)

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. - Marc Toussaint; Kelsey R. Allen; Kevin A. Smith 001; Joshua B. Tenenbaum (Robotics: Science and Systems, 2018)

Relational inductive biases, deep learning, and graph networks. - Peter W. Battaglia; Jessica B. Hamrick; Victor Bapst; Alvaro Sanchez-Gonzalez; Vinícius Flores Zambaldi; Mateusz Malinowski; Andrea Tacchetti; David Raposo; Adam Santoro; Ryan Faulkner 001; Çaglar Gülçehre; H. Francis Song; et al. (CoRR, 2018)

Residual Policy Learning. - Tom Silver; Kelsey R. Allen; Josh Tenenbaum 001; Leslie Pack Kaelbling (CoRR, 2018)

Rapid Trial-and-Error Learning in Physical Problem Solving. - Kelsey R. Allen; Kevin A. Smith 001; Josh Tenenbaum 001 (CogSci, 2019)

Discovering a symbolic planning language from continuous experience. - João Loula; Tom Silver; Kelsey R. Allen; Josh Tenenbaum 001 (CogSci, 2019)

Learning sparse relational transition models. - Victoria Xia; Zi Wang 004; Kelsey R. Allen; Tom Silver; Leslie Pack Kaelbling (ICLR (Poster), 2019)

Infinite Mixture Prototypes for Few-shot Learning. - Kelsey R. Allen; Evan Shelhamer; Hanul Shin; Joshua B. Tenenbaum (ICML, 2019)

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. - Marc Toussaint; Kelsey R. Allen; Kevin A. Smith 001; Joshua B. Tenenbaum (IJCAI, 2019)

Few-Shot Bayesian Imitation Learning with Logic over Programs. - Tom Silver; Kelsey R. Allen; Alex K. Lew; Leslie Pack Kaelbling; Josh Tenenbaum 001 (CoRR, 2019)

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. - Kelsey R. Allen; Kevin A. Smith 001; Joshua B. Tenenbaum (CoRR, 2019)

Few-Shot Bayesian Imitation Learning with Logical Program Policies. - Tom Silver; Kelsey R. Allen; Alex K. Lew; Leslie Pack Kaelbling; Josh Tenenbaum 001 (AAAI, 2020)

Abstract strategy learning underlies flexible transfer in physical problem solving. - Kelsey R. Allen; Kevin Smith 003; Ulyana Piterbarg; Robert Chen; Josh Tenenbaum 001 (CogSci, 2020)

A Task and Motion Approach to the Development of Planning. - João Loula; Kelsey R. Allen; Josh Tenenbaum 001 (CogSci, 2020)

Learning constraint-based planning models from demonstrations. - João Loula; Kelsey R. Allen; Tom Silver; Josh Tenenbaum 001 (IROS, 2020)

Meta-strategy learning in physical problem-solving: the effect of embodied experience. - Kelsey R. Allen; Kevin A. Smith 001; Laura-Ashleigh Bird; Josh Tenenbaum 001; Tamar R. Makin; Dorothy Cowie (CogSci, 2021)

Using Games to Understand Intelligence. - Franziska Brändle; Kelsey R. Allen; Josh Tenenbaum 001; Eric Schulz (CogSci, 2021)

Who went fishing? Inferences from social evaluations. - Zachary Davis; Kelsey R. Allen; Tobias Gerstenberg (CogSci, 2021)

Combining rules and simulation to explain infant physical learning. - João Loula; Kelsey R. Allen; Josh Tenenbaum 001 (CogSci, 2021)

Generalizing physical prediction by composing forces and objects. - Haoliang Wang; Kelsey R. Allen; Ed Vul; Judith E. Fan (CogSci, 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 (CoRL, 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 (NeurIPS, 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)

"Just In Time" Representations for Mental Simulation in Intuitive Physics. - Tony Chen 003; Kelsey R. Allen; Samuel J. Cheyette; Josh Tenenbaum 001; Kevin A. Smith 001 (CogSci, 2023)

Learning rigid dynamics with face interaction graph networks. - Kelsey R. Allen; Yulia Rubanova; Tatiana Lopez-Guevara; William Whitney 001; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Tobias Pfaff (ICLR, 2023)

Diffusion Generative Inverse Design. - Marin Vlastelica; Tatiana Lopez-Guevara; Kelsey R. Allen; Peter W. Battaglia; Arnaud Doucet; Kimberly L. Stachenfeld (CoRR, 2023)

Learning 3D Particle-based Simulators from RGB-D Videos. - William F. Whitney; Tatiana Lopez-Guevara; Tobias Pfaff; Yulia Rubanova; Thomas Kipf; Kim Stachenfeld; Kelsey R. Allen (ICLR, 2024)

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. - Yulia Rubanova; Tatiana Lopez-Guevara; Kelsey R. Allen; Will Whitney; Kimberly L. Stachenfeld; Tobias Pfaff (NeurIPS, 2024)

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. - Ziyi Wu; Yulia Rubanova; Rishabh Kabra; Drew A. Hudson; Igor Gilitschenski; Yusuf Aytar; Sjoerd van Steenkiste; Kelsey R. Allen; Thomas Kipf (NeurIPS, 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)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models. - Linlu Qiu; Fei Sha; Kelsey R. Allen; Yoon Kim; Tal Linzen; Sjoerd van Steenkiste (CoRR, 2025)

Direct Motion Models for Assessing Generated Videos. - 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 001; Sjoerd van Steenkiste (CoRR, 2025)

Assessing Adaptive World Models in Machines with Novel Games. - Lance Ying; Katherine M. Collins; Prafull Sharma; Cedric Colas; Kaiya Ivy Zhao; Adrian Weller; Zenna Tavares; Phillip Isola; Samuel J. Gershman; Jacob Andreas; Thomas L. Griffiths 001; François Chollet; et al. (CoRR, 2025)