Pim de Haan
11 papers · 2019–2024 · 4 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 ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(3)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(56)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Architectures
(4)
Computer Vision
(3)
Analysis
(3)
Models
(3)
Reinforcement Learning
(2)
Learning Types
(2)
Optimization & Theory
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Keywords
variational inference
(3)
geometric algebra
(3)
normalizing flow
(3)
bayesian inference
(2)
geometric deep learning
(2)
causal inference
(2)
3d vision
(2)
equivariant transformer
(2)
graph neural network
(2)
transformer architecture
(2)
equivariant neural network
(2)
model-based reinforcement learning
(1)
message passing
(1)
probability density estimation
(1)
weakly supervised learning
(1)
permutation equivariance
(1)
particle physics
(1)
dynamical system
(1)
diffusion model
(1)
generative model
(1)
Papers
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
AISTATS 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
NeurIPS 2024
Noether's Razor: Learning Conserved Quantities
NeurIPS 2024
EDGI: Equivariant Diffusion for Planning with Embodied Agents
NeurIPS 2023
Geometric Algebra Transformer
NeurIPS 2023
Rigid Body Flows for Sampling Molecular Crystal Structures
ICML 2023
Weakly supervised causal representation learning
NeurIPS 2022
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
ICLR 2021
Natural Graph Networks
NeurIPS 2020
Causal Confusion in Imitation Learning
NeurIPS 2019
Reparameterizing Distributions on Lie Groups
AISTATS 2019