Eric Zhan

5 papers · 2019–2021 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) CVPR (1) ICLR (1) ICML (1)

Top co-authors

Yisong Yue (5) Stephan Zheng (2) Pietro Perona (1) David J. Anderson (1) Ameesh Shah (1) Adith Swaminathan (1) Long Sha (1) Yukai Liu (1) Abhinav Verma (1) Swarat Chaudhuri (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Core AI (3) Learning Types · Machine Learning (3) Deep Learning (2) Core Methods (2) Learning Types · Deep Learning (2) Interdisciplinary (1) Reinforcement Learning (1) Application Areas (1) Methods (1) Models (1) Science (1)

Keywords

policy learning (1) adversarial training (1) program synthesis (1) spatio-temporal modeling (1) behavior analysis (1) hierarchical model (1) differentiable programming (1) missing value imputation (1) generative model (1) interpretable model (1) trajectory generation (1) spatio-temporal data (1) multi-agent trajectory (1) multi-resolution learning (1) sports analytics (1) divide-and-conquer strategy (1) style consistency (1) annotation efficiency (1) non-autoregressive model (1) non-autoregressive generation (1)

Papers

Task Programming: Learning Data Efficient Behavior Representations CVPR 2021 Learning Calibratable Policies using Programmatic Style-Consistency ICML 2020 Learning Differentiable Programs with Admissible Neural Heuristics NeurIPS 2020 Generating Multi-Agent Trajectories using Programmatic Weak Supervision ICLR 2019 NAOMI: Non-Autoregressive Multiresolution Sequence Imputation NeurIPS 2019