Scholar
Pim de Haan
Google Scholar ID: AZeK-REAAAAJ
CuspAI
Citations & Impact
Citations
1,566
H-index
16
i10-index
17
Publications
20
Co-authors
0
Publications
Resume
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