Raonić, Bogdan

1. Convolutional Neural Operators for robust and accurate learning of PDEs
   2023/02/02 by Bogdan Raonić, Raonić, Bogdan, R. Molinaro +10 · 54 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks #Neural Networks and Applications
2. Poseidon: Efficient Foundation Models for PDEs
   2024/05/29 by Maximilian Herde, Herde, Maximilian, Bogdan Raonić +11 · 40 citations
   Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Numerical methods for differential equations
3. Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
   2023/05/31 by Francesca Bartolucci, Bartolucci, Francesca, Emmanuel de Bézenac +9 · 12 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
4. Generative AI for fast and accurate statistical computation of fluids
   2024/09/27 by Roberto Molinaro, Samuel Lanthaler, Molinaro, Roberto +22 · 1 voice · 10 citations
   Computer Science · Engineering · Physics and Astronomy · #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Time Series Analysis and Forecasting #cs.LG #math.NA #physics.flu-dyn
5. RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domains
   2025/01/31 by Mousavi, Sepehr, Wen, Shizheng, Lingsch, Levi +3 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)