Peter Battaglia

24 papers · 2013–2023 · 6 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌍 Conference Polyglot (6) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)

🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (6) 🤝 Dynamic Duo (11) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion (4) 📈 Trend Setter 🗃️ Keyword Collector (89) 🚀 Conference Pioneer ⚡ Prolific Year (5) 🔥 Unstoppable (8) 💎 Century Club (24)

Conferences

ICLR (7) ICML (7) NIPS (7) CORL (1) ECCV (1) ICCV (1)

Top co-authors

Alvaro Sanchez-Gonzalez (11) Razvan Pascanu (7) Tobias Pfaff (7) Yulia Rubanova (4) Jonathan Godwin (4) Adam Santoro (4) David Raposo (3) Mateusz Malinowski (3) Yujia Li (3) Danilo Jimenez Rezende (3)

Keywords

graph network (4) physics simulation (4) graph neural network (4) transformer architecture (2) trajectory prediction (2) deep reinforcement learning (2) interaction network (2) model-based reinforcement learning (2) physical simulation (2) autoregressive model (2) image generation (1) visual question answering (1) constraint optimization (1) supervised learning (1) video prediction (1) visual observation (1) gradient-based optimization (1) deep learning (1) sparse representation (1) 3d reconstruction (1)

Papers

Learning rigid dynamics with face interaction graph networks ICLR 2023 Pre-training via Denoising for Molecular Property Prediction ICLR 2023 Inverse Design for Fluid-Structure Interactions using Graph Network Simulators NIPS 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 Constraint-based graph network simulator ICML 2022 Learning Mesh-Based Simulation with Graph Networks ICLR 2021 Generating images with sparse representations ICML 2021 Discovering Symbolic Models from Deep Learning with Inductive Biases NIPS 2020 PolyGen: An Autoregressive Generative Model of 3D Meshes ICML 2020 Learning to Simulate Complex Physics with Graph Networks ICML 2020 Deep reinforcement learning with relational inductive biases ICLR 2019 Structured agents for physical construction ICML 2019 CompILE: Compositional Imitation Learning and Execution ICML 2019 Hyperbolic Attention Networks ICLR 2019 Learning Visual Question Answering by Bootstrapping Hard Attention ECCV 2018 Graph Networks as Learnable Physics Engines for Inference and Control ICML 2018 Visual Interaction Networks: Learning a Physics Simulator from Video NIPS 2017 A simple neural network module for relational reasoning NIPS 2017 Imagination-Augmented Agents for Deep Reinforcement Learning NIPS 2017 Interaction Networks for Learning about Objects, Relations and Physics NIPS 2016 Unsupervised Learning of 3D Structure from Images NIPS 2016 Estimating the Material Properties of Fabric from Video ICCV 2013