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12/07/2022
Learning rigid dynamics with face interaction graph networks
Simulating rigid collisions among arbitrary shapes is notoriously diffic...
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10/02/2022
MultiScale MeshGraphNets
In recent years, there has been a growing interest in using machine lear...
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02/01/2022
Physical Design using Differentiable Learned Simulators
Designing physical artifacts that serve a purpose - such as tools and ot...
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12/31/2021
Learned Coarse Models for Efficient Turbulence Simulation
Turbulence simulation with classical numerical solvers requires very hig...
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12/16/2021
Constraint-based graph network simulator
In the rapidly advancing area of learned physical simulators, nearly all...
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10/12/2021
Learning ground states of quantum Hamiltonians with graph networks
Solving for the lowest energy eigenstate of the many-body Schrodinger eq...
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10/07/2020
Learning Mesh-Based Simulation with Graph Networks
Mesh-based simulations are central to modeling complex physical systems ...
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02/21/2020
Learning to Simulate Complex Physics with Graph Networks
Here we present a general framework for learning simulation, and provide...
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12/05/2019
Combining Q-Learning and Search with Amortized Value Estimates
We introduce "Search with Amortized Value Estimates" (SAVE), an approach...
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10/11/2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Humans are experts at high-fidelity imitation -- closely mimicking a dem...
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05/29/2018
