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08/29/2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
WeatherBench 2 is an update to the global, medium-range (1-14 day) weath...
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12/24/2022
GraphCast: Learning skillful medium-range global weather forecasting
We introduce a machine-learning (ML)-based weather simulator–called "Gra...
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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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05/31/2022
Pre-training via Denoising for Molecular Property Prediction
Many important problems involving molecular property prediction from 3D ...
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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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08/25/2021
ETA Prediction with Graph Neural Networks in Google Maps
Travel-time prediction constitutes a task of high importance in transpor...
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07/20/2021
Large-scale graph representation learning with very deep GNNs and self-supervision
Effectively and efficiently deploying graph neural networks (GNNs) at sc...
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06/15/2021
Very Deep Graph Neural Networks Via Noise Regularisation
Graph Neural Networks (GNNs) perform learned message passing over an inp...
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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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06/19/2020
Discovering Symbolic Models from Deep Learning with Inductive Biases
We develop a general approach to distill symbolic representations of a l...
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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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10/31/2019
Object-oriented state editing for HRL
We introduce agents that use object-oriented reasoning to consider alter...
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09/27/2019
Hamiltonian Graph Networks with ODE Integrators
We introduce an approach for imposing physically informed inductive bias...
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04/05/2019
Structured agents for physical construction
Physical construction -- the ability to compose objects, subject to phys...
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06/04/2018
Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, makin...
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06/04/2018