de Bezenac, Emmanuel

1. Deep Learning for Physical Processes: Incorporating Prior Scientific\n Knowledge
   2017/11/21 by Emmanuel de Bézenac, de Bezenac, Emmanuel, Arthur Pajot +3 · 18 citations
   Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
2. Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
   2023/05/31 by Levi Lingsch, Lingsch, Levi, Mike Y. Michelis +7 · 3 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
3. Mapping conditional distributions for domain adaptation under generalized target shift
   2021/10/26 by Matthieu Kirchmeyer, Kirchmeyer, Matthieu, Alain Rakotomamonjy +5 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face recognition and analysis #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications #Topic Modeling
4. Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods
   2024/10/09 by Boudec, Lise Le, de Bezenac, Emmanuel, Serrano, Louis +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)