Fujisawa, Masahiro
- Multilevel Monte Carlo Variational Inference
2019/02/01 by Masahiro Fujisawa, Fujisawa, Masahiro, Issei Sato +1 · 3 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
- Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
2023/10/10 by Takeshi Koshizuka, Koshizuka, Takeshi, Masahiro Fujisawa +5 · 4 citations
Computer Science · Physics and Astronomy · #Neural Networks and Applications #Neural Networks and Reservoir Computing #Model Reduction and Neural Networks
- Time-Independent Information-Theoretic Generalization Bounds for SGLD
2023/11/02 by Futoshi Futami, Futami, Futoshi, Masahiro Fujisawa +1 · 4 citations
Computer Science · Mathematics · Neuroscience · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neural dynamics and brain function #Stochastic Gradient Optimization Techniques
- Information-theoretic Generalization Analysis for Expected Calibration Error
2024/05/24 by Futoshi Futami, Masahiro Fujisawa, Futami, Futoshi +1 · 5 citations
Engineering · #Fault Detection and Control Systems
- Scalable Valuation of Human Feedback through Provably Robust Model Alignment
2025/05/23 by Fujisawa, Masahiro, Adachi, Masaki, Osborne, Michael A. · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- PAC-Bayes Analysis for Recalibration in Classification
2024/06/10 by Masahiro Fujisawa, Fujisawa, Masahiro, Futoshi Futami +1 · 2 citations
Computer Science · Engineering · #Neural Networks and Applications #Machine Learning and Data Classification #Fault Detection and Control Systems