Kelsey R. Allen

Affiliations:
  • Massachusetts Institute of Technology (MIT), CBMM, Cambridge, MA, USA
  • University of British Columbia, Department of Computer Science, Vancouver, BC, Canada


According to our database1, Kelsey R. Allen authored at least 27 papers between 2014 and 2024.

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Bibliography

2024
Scaling Face Interaction Graph Networks to Real World Scenes.
CoRR, 2024

2023
Learning 3D Particle-based Simulators from RGB-D Videos.
CoRR, 2023

Diffusion Generative Inverse Design.
CoRR, 2023

Learning rigid dynamics with face interaction graph networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Physical Design using Differentiable Learned Simulators.
CoRR, 2022

Inverse Design for Fluid-Structure Interactions using Graph Network Simulators.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph network simulators can learn discontinuous, rigid contact dynamics.
Proceedings of the Conference on Robot Learning, 2022

2020
Learning constraint-based planning models from demonstrations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Task and Motion Approach to the Development of Planning.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Abstract strategy learning underlies flexible transfer in physical problem solving.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Few-Shot Bayesian Imitation Learning with Logical Program Policies.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving.
CoRR, 2019

Few-Shot Bayesian Imitation Learning with Logic over Programs.
CoRR, 2019

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Infinite Mixture Prototypes for Few-shot Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning sparse relational transition models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Discovering a symbolic planning language from continuous experience.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Rapid Trial-and-Error Learning in Physical Problem Solving.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Residual Policy Learning.
CoRR, 2018

Relational inductive biases, deep learning, and graph networks.
CoRR, 2018

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.
Proceedings of the Robotics: Science and Systems XIV, 2018

End-to-End Differentiable Physics for Learning and Control.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Relational inductive bias for physical construction in humans and machines.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Simulation and heuristics in flexible tool use.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Integrating identification and perception: A case study of familiar and unfamiliar face processing.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Go fishing! Responsibility judgments when cooperation breaks down.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014


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