Taco S Cohen
8 papers · 2018–2023 · 1 venue · across top CS/AI venues
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Achievements
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(26)
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Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Analysis
(2)
Domain-Specific
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Keywords
equivariant neural network
(2)
3d reconstruction
(1)
model-based reinforcement learning
(1)
pose estimation
(1)
weakly supervised learning
(1)
3d vision
(1)
image reconstruction
(1)
geometric deep learning
(1)
permutation equivariance
(1)
irreducible representations
(1)
group theory
(1)
geometric algebra
(1)
message passing
(1)
generalization error
(1)
manifold learning
(1)
generalization bound
(1)
pac-bayesian bound
(1)
diffusion model
(1)
feature map
(1)
transformer architecture
(1)
Papers
EDGI: Equivariant Diffusion for Planning with Embodied Agents
NeurIPS 2023
Geometric Algebra Transformer
NeurIPS 2023
A PAC-Bayesian Generalization Bound for Equivariant Networks
NeurIPS 2022
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
NeurIPS 2022
Weakly supervised causal representation learning
NeurIPS 2022
Natural Graph Networks
NeurIPS 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces
NeurIPS 2019
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
NeurIPS 2018