Jacob H. Seidman

1. NOMAD: Nonlinear Manifold Decoders for Operator Learning
   2022/06/07 by Jacob H. Seidman, Georgios Kissas, Seidman, Jacob H. +5 · 9 citations
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
2. CViT: Continuous Vision Transformer for Operator Learning
   2024/05/22 by Sifan Wang, Wang, Sifan, Jacob H. Seidman +9 · 13 citations
   Computer Science · #Neural Networks and Applications
3. Variational Autoencoding Neural Operators
   2023/02/20 by Jacob H. Seidman, Georgios Kissas, Seidman, Jacob H. +5 · 5 citations
   Materials Science · Engineering · Physics and Astronomy · #Machine Learning in Materials Science #Hydrocarbon exploration and reservoir analysis #Model Reduction and Neural Networks
4. Random Weight Factorization Improves the Training of Continuous Neural Representations
   2022/10/03 by Sifan Wang, Hanwen Wang, Wang, Sifan +5 · 4 citations
   Computer Science · Physics and Astronomy · #Neural Networks and Applications #Medical Image Segmentation Techniques #Model Reduction and Neural Networks
5. A Control-Theoretic Approach to Analysis and Parameter Selection of\n Douglas-Rachford Splitting
   2019/03/27 by Jacob H. Seidman, Mahyar Fazlyab, Seidman, Jacob H. +5 · 1 citation
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Control Systems and Identification #FOS: Mathematics #Matrix Theory and Algorithms #Optimization and Control (math.OC)