Pim de Haan
Scholar

Pim de Haan

Google Scholar ID: AZeK-REAAAAJ
CuspAI
Machine Learning
Citations & Impact
All-time
Citations
1,566
 
H-index
16
 
i10-index
17
 
Publications
20
 
Co-authors
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
0 total
Co-authors: 0 (list not available)