Kelsey R. Allen

发表

End-to-End Differentiable Physics for Learning and Control

Joshua B. Tenenbaum, Kevin A. Smith, J. Zico Kolter, 2018, NeurIPS.

Residual Policy Learning pdf

Leslie Pack Kaelbling, Joshua B. Tenenbaum, Tom Silver, 2018, ArXiv.

Integrating identification and perception: A case study of familiar and unfamiliar face processing

Joshua B. Tenenbaum, Kelsey R. Allen, Ilker Yildirim, 2016, CogSci.

Variadic Learning by Bayesian Nonparametric Deep Embedding

Kelsey R. Allen, Josh Tenenbaum, Evan Shelhamer, 2018 .

Relational inductive biases, deep learning, and graph networks pdf

Razvan Pascanu, H. Francis Song, Jessica B. Hamrick, 2018, ArXiv.

Simulation and heuristics in flexible tool use

Joshua B. Tenenbaum, Kevin A. Smith, Kelsey R. Allen, 2017, CogSci.

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract

Marc Toussaint, Joshua B. Tenenbaum, Kevin A. Smith, 2019, IJCAI.

Relational inductive bias for physical construction in humans and machines pdf

Jessica B. Hamrick, Joshua B. Tenenbaum, Kelsey R. Allen, 2018, CogSci.

Discovering a symbolic planning language from continuous experience

Joshua B. Tenenbaum, Tom Silver, Kelsey R. Allen, 2019, CogSci.

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving

Joshua B. Tenenbaum, Kevin A. Smith, Kelsey R. Allen, 2019, CogSci.

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning

Marc Toussaint, Joshua B. Tenenbaum, Kevin A. Smith, 2018, Robotics: Science and Systems.

Few-Shot Bayesian Imitation Learning with Logic over Programs pdf

Leslie Pack Kaelbling, Joshua B. Tenenbaum, Tom Silver, 2019, ArXiv.

Few-Shot Bayesian Imitation Learning with Logical Program Policies

Leslie Pack Kaelbling, Tom Silver, Kelsey R. Allen, 2020, AAAI.

Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning

Joshua B. Tenenbaum, Kevin A. Smith, Kelsey R. Allen, 2019, Proceedings of the National Academy of Sciences.

Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure

Giuseppe Carenini, Raymond T. Ng, Kelsey R. Allen, 2014, EMNLP.

Infinite Mixture Prototypes for Few-Shot Learning

Joshua B. Tenenbaum, Kelsey R. Allen, Evan Shelhamer, 2019, ICML.

Go fishing! Responsibility judgments when cooperation breaks down

Joshua B. Tenenbaum, Julian Jara-Ettinger, Kelsey R. Allen, 2015, CogSci.

Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning

Kevin A. Smith, Kelsey R. Allen, J. Tenenbaum, 2019, Proceedings of the National Academy of Sciences.

Inference and Planning with Virtual and Physical Constraints for Object Manipulation

Kelsey R. Allen, J. Tenenbaum, J. Loula, 2020 .

Running head: RAPID TRIAL-AND-ERROR LEARNING SUPPORTS TOOL USE 1 Rapid trial-and-error learning with mental simulation supports flexible tool use

Kevin A. Smith, Kelsey R. Allen, J. Tenenbaum, 2019 .

Learning constraint-based planning models from demonstrations

Kelsey R. Allen, J. Tenenbaum, Tom Silver, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Supplement to Infinite Mixture Prototypes for Few-Shot Learning

Kelsey R. Allen, J. Tenenbaum, Evan Shelhamer, 2019 .

Variadic Meta-Learning by Bayesian Nonparametric Deep Embedding

Kelsey R. Allen, Evan Shelhamer, Hanul Shin, 2018 .

Search for high-mass dilepton resonances in pp collisions at s =8 TeV with the ATLAS detector

Kelsey R. Allen, J. T. Childers, Laura Gonzalez Silva, 2014, 1405.4123.

Foundations of intuitive power analyses in children and adults

Kelsey R. Allen, J. Tenenbaum, L. Schulz, 2022, Nature Human Behaviour.

Learning rigid dynamics with face interaction graph networks

Kelsey R. Allen, William F. Whitney, T. Pfaff, 2022, ICLR.

OGRE: An Object-based Generalization for Reasoning Environment

Kevin A. Smith, Kelsey R. Allen, L. V. D. Maaten, 2020 .

Graph network simulators can learn discontinuous, rigid contact dynamics

Kelsey R. Allen, T. Pfaff, P. Battaglia, 2022, CoRL.

Few-Shot Bayesian Imitation Learning with Logical Program Policies

Kelsey R. Allen, Alexander K. Lew, J. Tenenbaum, 2019, AAAI.

Physical Design using Differentiable Learned Simulators

Jessica B. Hamrick, Kelsey R. Allen, T. Pfaff, 2022, ArXiv.

Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining

Kelsey R. Allen, M. Zaheer, A. McCallum, 2023, AISTATS.

Lifelong learning of cognitive strategies for physical problem-solving: the effect of embodied experience

Kevin A. Smith, Kelsey R. Allen, J. Tenenbaum, 2022, bioRxiv.

Meta-strategy learning in physical problem-solving: the effect of embodied experience

Kevin A. Smith, Kelsey R. Allen, J. Tenenbaum, 2021 .

Inverse Design for Fluid-Structure Interactions using Graph Network Simulators

Jessica B. Hamrick, Kelsey R. Allen, T. Pfaff, 2022, NeurIPS.

Relational inductive biases, deep learning, and graph networks

Jessica B. Hamrick, Kelsey R. Allen, George E. Dahl, 2018, ArXiv.

Search for high-mass dilepton resonances in pp collisions at s =8 TeV with the ATLAS detector

Kelsey R. Allen, J. T. Childers, Chang Wei Loh, 2014, 1405.4123.