Area of research
Artificial Intelligence · Cognitive Neuroscience
Research interest
Research interests include Reinforcement Learning in Robotics, Visual perception and processing mechanisms, Advanced Graph Neural Networks, and Topic Modeling.
Probabilistic weather forecasting with machine learning.
Neural general circulation models for weather and climate
Learning skillful medium-range global weather forecasting.
Rediscovering orbital mechanics with machine learning
Advancing mathematics by guiding human intuition with AI
Graph neural networks in particle physics
Lagrangian Neural Networks
Discovering Symbolic Models from Deep Learning with Inductive Biases
Neural Information Processing Systems 2020cited by 15position: middle
Modeling human intuitions about liquid flow with particle-based simulation
Deep reinforcement learning with relational inductive biases
International Conference on Learning Representations 2018cited by 135position: last
Visual Interaction Networks: Learning a Physics Simulator from Video
Neural Information Processing Systems 2017cited by 187position: middle
Imagination-Augmented Agents for Deep Reinforcement Learning
arXiv (Cornell University) 2017cited by 163position: middle
Inferring mass in complex scenes by mental simulation
Estimating the Material Properties of Fabric from Video