Alvaro Sanchez-Gonzalez
12 papers · 2018–2023 · 3 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
(8)
Machine Learning
(8)
Architectures
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Application Areas Β· Machine Learning
(4)
Reinforcement Learning
(2)
Applications
(2)
Learning Types
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Application Areas Β· Deep Learning
(1)
Keywords
graph neural network
(5)
graph network
(3)
physics simulation
(2)
message passing
(2)
molecular property prediction
(2)
monte carlo tree search
(2)
physical simulation
(2)
trajectory optimization
(1)
system identification
(1)
constraint optimization
(1)
sequence segmentation
(1)
denoising autoencoder
(1)
noise regularization
(1)
sparse reward
(1)
score matching
(1)
object-centric representation
(1)
chaotic dynamics
(1)
end-to-end training
(1)
forward simulation
(1)
model-based reinforcement learning
(1)
Papers
Learning rigid dynamics with face interaction graph networks
ICLR 2023
Pre-training via Denoising for Molecular Property Prediction
ICLR 2023
Constraint-based graph network simulator
ICML 2022
Graph network simulators can learn discontinuous, rigid contact dynamics
CoRL 2022
Learned Simulators for Turbulence
ICLR 2022
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
ICLR 2022
Learning Mesh-Based Simulation with Graph Networks
ICLR 2021
Combining Q-Learning and Search with Amortized Value Estimates
ICLR 2020
Learning to Simulate Complex Physics with Graph Networks
ICML 2020
CompILE: Compositional Imitation Learning and Execution
ICML 2019
Structured agents for physical construction
ICML 2019
Graph Networks as Learnable Physics Engines for Inference and Control
ICML 2018