Pim de Haan

About Pim de Haan

Pim de Haan, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

System and process for deconfounded imitation learning

Mesh neural networks for SE (3)-equivariant hemodynamics estimation on the artery wall

Efficient machine learning message passing on point cloud data

Learning Lattice Quantum Field Theories with Equivariant Continuous Flows

FoMo Rewards: Can we cast foundation models as reward functions?

Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers

Geometric Algebra Transformers

EDGI: Equivariant Diffusion for Planning with Embodied Agents

Pim de Haan Information

University

Position

Qualcomm AI Research

Citations(all)

774

Citations(since 2020)

771

Cited By

151

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Pim de Haan Skills & Research Interests

Machine Learning

Top articles of Pim de Haan

System and process for deconfounded imitation learning

2024/4/11

Mesh neural networks for SE (3)-equivariant hemodynamics estimation on the artery wall

arXiv preprint arXiv:2212.05023

2022/12/9

Efficient machine learning message passing on point cloud data

2024/2/1

Learning Lattice Quantum Field Theories with Equivariant Continuous Flows

SciPost Physics

2023/12/13

FoMo Rewards: Can we cast foundation models as reward functions?

arXiv e-prints

2023/12

Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers

2023/11/8

Geometric Algebra Transformers

NeurIPS 2023

2023/5/28

EDGI: Equivariant Diffusion for Planning with Embodied Agents

NeurIPS 2023

2023/3/22

Rigid body flows for sampling molecular crystal structures

2023/1/26

Deconfounded imitation learning

arXiv preprint arXiv:2211.02667

2022/11/4

Weakly supervised causal representation learning

2022/3/30

Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows

2021/10/6

Pim De Haan
Pim De Haan

H-Index: 5

Gauge equivariant geometric graph convolutional neural network

2021/8/12

Natural graph networks

NeurIPS 2020

2020/7/16

Gauge equivariant mesh cnns: Anisotropic convolutions on geometric graphs

ICLR 2021

2020/3/11

See List of Professors in Pim de Haan University(Universiteit van Amsterdam)