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David Klee

3 papers · 2023–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

CoRL (1) ICLR (1) NeurIPS (1)

Top co-authors

Robin Walters (2) Ondrej Biza (2) Robert Platt (2) Hai Huu Nguyen (1) Owen Howell (1) Dian Wang (1) Linfeng Zhao (1) Andrea Baisero (1) Christopher Amato (1)

Research topics

Computer Vision (2) Deep Learning (2) Machine Learning (2) Analysis (2) Architectures (2) Optimization & Theory (2) Reinforcement Learning (1) Applications (1) Methods (1)

Keywords

pose prediction (2) depth estimation (1) robot learning (1) 3d pose estimation (1) partial observability (1) inductive bia (1) equivariant neural network (1) equivariance constraint (1) sample-efficient learning (1) group symmetry (1) 3d rotation (1) neural network (1) single-view reconstruction (1) object orientation (1) equivariant feature (1) induced representation (1) so(3) equivariance (1) pose estimation (1) equivariant reinforcement learning (1)

Papers

Equivariant Reinforcement Learning under Partial Observability CoRL 2023 Equivariant Single View Pose Prediction Via Induced and Restriction Representations NeurIPS 2023 Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction ICLR 2023