Scholar
Pim de Haan
Google Scholar ID: AZeK-REAAAAJ
CuspAI
Machine Learning
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Citations & Impact
All-time
Citations
1,566
H-index
16
i10-index
17
Publications
20
Co-authors
0
Contact
Email
pimdehaan@gmail.com
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Publications
2 items
BLIPs: Bayesian Learned Interatomic Potentials
2025
Cited
0
The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture
2025
Cited
0
Resume (English only)
Academic Achievements
Published multiple papers at top venues including NeurIPS, ICLR, AISTATS, and TMLR
NeurIPS 2019 paper 'Causal Confusion in Imitation Learning' received an oral presentation (top 0.5% of submissions)
ICLR 2021 paper 'Gauge Equivariant Mesh CNNs' was selected as a spotlight presentation
Research spans geometric algebra, equivariant transformers, causal representation learning, and modeling physical systems
Notable works include 'Noether’s Razor: Learning Conserved Quantities' (NeurIPS 2024) and 'Geometric Algebra Transformer' (NeurIPS 2023)
Education
PhD in machine learning at AMLab, University of Amsterdam, supervised by Max Welling
PhD work generalized symmetry groups to groupoids and beyond for deep learning
Master's degree in theoretical physics from the University of Cambridge
Master's degree in AI from the University of Amsterdam
Completed master's thesis on Causal Imitation Learning as a visiting scholar at UC Berkeley's Robotic AI and Learning Lab under Sergey Levine
Co-authors
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Co-authors: 0 (list not available)
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