Pim de Haan
- Causal Confusion in Imitation Learning
2019/05/28 by Pim de Haan, de Haan, Pim, Dinesh Jayaraman +3 · 30 citations
Computer Science · Engineering · #AI-based Problem Solving and Planning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
- Does equivariance matter at scale?
2024/10/30 by Johann Brehmer, Sönke Behrends, Brehmer, Johann +5 · 5 voices · 13 citations
Materials Science · Computer Science · Physics and Astronomy · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Model Reduction and Neural Networks
- Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
2024/05/23 by Jonas Spinner, Spinner, Jonas, Victor Bresó +9 · 1 voice · 14 citations
Computer Science · Mathematics · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an) #cs.LG #hep-ph #physics.data-an #stat.ML
- A Lorentz-Equivariant Transformer for All of the LHC
2024/11/01 by Johann Brehmer, Brehmer, Johann, Víctor Bresó +11 · 22 citations
Engineering · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Particle Accelerators and Free-Electron Lasers #Particle accelerators and beam dynamics #Superconducting Materials and Applications
- Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric\n graphs
2020/03/11 by Pim de Haan, de Haan, Pim, Maurice Weiler +5 · 6 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- Rigid Body Flows for Sampling Molecular Crystal Structures
2023/01/26 by Jonas Köhler, Michele Invernizzi, Köhler, Jonas +5 · 6 citations
Computer Science · Physics and Astronomy · #Computer Graphics and Visualization Techniques #Scientific Research and Discoveries #Music Technology and Sound Studies
- Geometric Algebra Transformer
2023/05/28 by Johann Brehmer, Pim de Haan, Brehmer, Johann +5 · 5 citations
Engineering · Mathematics · Medicine · #Algebraic and Geometric Analysis #FOS: Computer and information sciences #Geophysics and Sensor Technology #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Robotics (cs.RO)
- The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture
2025/08/05 by Anuroop Sriram, Sriram, Anuroop, Logan M. Brabson +27 · 2 voices · 7 citations
#cond-mat.mtrl-sci #cs.LG #physics.chem-ph
- EDGI: Equivariant Diffusion for Planning with Embodied Agents
2023/03/22 by Johann Brehmer, Brehmer, Johann, Joey Bose +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Noether's razor: Learning Conserved Quantities
2024/10/10 by Tycho F. A. van der Ouderaa, Mark van der Wilk, van der Ouderaa, Tycho F. A. +3 · 1 voice · 1 citation
#cs.LG #stat.ML
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
2024/10/17 by Mathis Gerdes, Gerdes, Mathis, Pim de Haan +5 · 1 citation
Economics, Econometrics and Finance · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Physics of Superconductivity and Magnetism #Statistical Mechanics (cond-mat.stat-mech) #Stochastic processes and financial applications #Theoretical and Computational Physics
- BLIPs: Bayesian Learned Interatomic Potentials
2025/08/19 by Dario Coscia, Pim de Haan, Coscia, Dario +3 · 1 citation
Agricultural and Biological Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sensory Analysis and Statistical Methods