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Johann Brehmer

  1. Simulation Intelligence: Towards a New Generation of Scientific Methods
    2021/12/06 by Alexander Lavin, David C. Krakauer, David Krakauer +49 · 2 voices · 7 citations
    Decision Sciences · #Scientific Computing and Data Management #Simulation Techniques and Applications #cs.AI #cs.CE #cs.LG #cs.MS
  2. Mining gold from implicit models to improve likelihood-free inference
    2018/05/30 by Johann Brehmer, Gilles Louppe, Juan Pavez +2 · 1 voice · 8 citations
    Computer Science · Engineering · Mathematics · Physics and Astronomy · #Fault Detection and Control Systems #Machine Learning and Algorithms #Mineral Processing and Grinding #cs.LG #hep-ph #physics.data-an #stat.ML
  3. 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
  4. Flows for simultaneous manifold learning and density estimation
    2020/03/31 by Johann Brehmer, Brehmer, Johann, Kyle Cranmer +1 · 1 voice · 7 citations
    #stat.ML #cs.LG
  5. Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
    2024/05/23 by Jonas Spinner, Victor Bresó, Spinner, Jonas +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
  6. A Lorentz-Equivariant Transformer for All of the LHC
    2024/11/01 by Johann Brehmer, Víctor Bresó, Brehmer, Johann +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
  7. 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)
  8. Likelihood-free inference with an improved cross-entropy estimator
    2018/08/02 by Markus Stoye, Johann Brehmer, Stoye, Markus +7 · 3 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Markov Chains and Monte Carlo Methods
  9. Implicit Neural Video Compression
    2021/12/21 by Yunfan Zhang, Zhang, Yunfan, Ties van Rozendaal +7 · 3 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG)
  10. The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture
    2025/08/05 by Anuroop Sriram, Logan M. Brabson, Sriram, Anuroop +27 · 2 voices · 7 citations
    #cond-mat.mtrl-sci #cs.LG #physics.chem-ph
  11. 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)
  12. Hierarchical clustering in particle physics through reinforcement\n learning
    2020/11/16 by Johann Brehmer, Sebastian Macaluso, Brehmer, Johann +5 · 1 citation
    Computer Science · Decision Sciences · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Particle physics theoretical and experimental studies #Scientific Computing and Data Management