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Peter Battaglia

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

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Achievements

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (41) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (4) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (119) 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer

Venues

ICLR (7) ICML (7) NeurIPS (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)

Research topics

Deep Learning (17) Machine Learning (13) Architectures (12) Artificial Intelligence (10) Core AI (9) Core Methods (9) Computer Vision (4) Application Areas (4) Models (4) Reinforcement Learning (3) Learning Types Β· Deep Learning (3) Learning Types Β· Machine Learning (3) Methods (3) Optimization & Theory (3) Computer Science (2)

Keywords

graph neural network (7) graph network (4) physics simulation (4) message passing (3) transformer architecture (2) visual question answering (2) trajectory prediction (2) molecular property prediction (2) interaction network (2) physical simulation (2) autoregressive model (2) relational reasoning (2) deep reinforcement learning (2) model-based reinforcement learning (2) constraint optimization (1) image generation (1) video prediction (1) graph learning (1) visual observation (1) gradient-based optimization (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 Inverse Design for Fluid-Structure Interactions using Graph Network Simulators NeurIPS 2022 Learned Simulators for Turbulence ICLR 2022 Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond ICLR 2022 Generating images with sparse representations ICML 2021 Learning Mesh-Based Simulation with Graph Networks ICLR 2021 Discovering Symbolic Models from Deep Learning with Inductive Biases NeurIPS 2020 Learning to Simulate Complex Physics with Graph Networks ICML 2020 PolyGen: An Autoregressive Generative Model of 3D Meshes ICML 2020 CompILE: Compositional Imitation Learning and Execution ICML 2019 Deep reinforcement learning with relational inductive biases ICLR 2019 Hyperbolic Attention Networks ICLR 2019 Structured agents for physical construction ICML 2019 Graph Networks as Learnable Physics Engines for Inference and Control ICML 2018 Learning Visual Question Answering by Bootstrapping Hard Attention ECCV 2018 A simple neural network module for relational reasoning NeurIPS 2017 Imagination-Augmented Agents for Deep Reinforcement Learning NeurIPS 2017 Visual Interaction Networks: Learning a Physics Simulator from Video NeurIPS 2017 Interaction Networks for Learning about Objects, Relations and Physics NeurIPS 2016 Unsupervised Learning of 3D Structure from Images NeurIPS 2016 Estimating the Material Properties of Fabric from Video ICCV 2013