Daniel Worrall

5 papers · 2018–2020 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

NeurIPS (3) ECCV (1) ICML (1)

Top co-authors

Max Welling (3) Gabriel Brostow (1) Herke van Hoof (1) Nichita Diaconu (1) Fabian Fuchs (1) Volker Fischer (1) Frans Oliehoek (1) Elise van der Pol (1)

Research topics

Machine Learning (4) Core Methods (2) Computer Science (1) Computer Vision (1) Deep Learning (1) Reinforcement Learning (1) Analysis (1) Applications (1) Architectures (1) Learning Types (1) Methods (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

representation learning (2) convolutional neural network (1) feature map (1) equivariant neural network (1) 3d point cloud (1) weight tying (1) rotation invariance (1) group convolution (1) equivariant network (1) neural network (1) scale-space theory (1) filter basis (1) scale equivariant (1) mdp homomorphic network (1) group symmetries (1) equivariant cross-correlation (1) deep reinforcement learning (1) scale symmetry (1)

Papers

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning NeurIPS 2020 SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks NeurIPS 2020 Deep Scale-spaces: Equivariance Over Scale NeurIPS 2019 Learning to Convolve: A Generalized Weight-Tying Approach ICML 2019 CubeNet: Equivariance to 3D Rotation and Translation ECCV 2018