Model-Based Control with Sparse Neural Dynamics

no code implementations • NeurIPS 2023 • Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Li Fei-Fei, Jiajun Wu, Yunzhu Li

In this paper, we propose a new framework for integrated model learning and predictive control that is amenable to efficient optimization algorithms.

Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning

no code implementations • 22 Jul 2023 • Romain Lacombe, Andrew Gaut, Jeff He, David Lüdeke, Kateryna Pistunova

Deep learning in computational biochemistry has traditionally focused on molecular graphs neural representations; however, recent advances in language models highlight how much scientific knowledge is encoded in text.

Contrastive Learning Property Prediction +3

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models

1 code implementation • 21 Apr 2021 • Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan Mcallister, Joseph E. Gonzalez, Sergey Levine

Humans have a remarkable ability to make decisions by accurately reasoning about future events, including the future behaviors and states of mind of other agents.