Furuya, Takashi

8 publications

TMLR 2025 Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts Anastasis Kratsios, Haitz Sáez de Ocáriz Borde, Takashi Furuya, Marc T. Law

NeurIPS 2025 Approximation Theory for 1-Lipschitz ResNets Davide Murari, Takashi Furuya, Carola-Bibiane Schönlieb

ICLR 2025 Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations Takashi Furuya, Koichi Taniguchi, Satoshi Okuda

ICLR 2025 Transformers Are Universal In-Context Learners Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré

NeurIPS 2024 Can Neural Operators Always Be Continuously Discretized? Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas

TMLR 2024 Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada

NeurIPS 2023 Globally Injective and Bijective Neural Operators Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop

AISTATS 2022 Spectral Pruning for Recurrent Neural Networks Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon