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ORCIDTakashi Furuya
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Journal Articles
- 2024
[j2]Jose Antonio Lara Benitez
, Takashi Furuya, Florian Faucher, Anastasis Kratsios, Xavier Tricoche, Maarten V. de Hoop:
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation. J. Comput. Phys. 513: 113168 (2024)- [j1]Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada:
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2023
- [c4]Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop:
Globally injective and bijective neural operators. NeurIPS 2023 - 2022
- [c3]Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon:
Spectral Pruning for Recurrent Neural Networks. AISTATS 2022: 3458-3482 - [c2]Fumio Yamazaki, Wen Liu, Takashi Furuya, Yoshihisa Maruyama:
Assessment of Aqueduct Bridge Failure in Wakayama City, Japan, Based on Uav Surveying Flights and High-Resolution Sar Data. IGARSS 2022: 497-500 - 2004
- [c1]Rodney Berry, Naoto Hikawa, Mao Makino, Masami Suzuki, Takashi Furuya:
Authoring augmented reality: a code-free approach. SIGGRAPH Posters 2004: 43
Informal and Other Publications
- 2024
- [i12]Haitz Sáez de Ocáriz Borde, Takashi Furuya, Anastasis Kratsios, Marc T. Law:
Breaking the Curse of Dimensionality with Distributed Neural Computation. CoRR abs/2402.03460 (2024) - [i11]Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop:
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning. CoRR abs/2404.09101 (2024) - [i10]Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré:
Transformers are Universal In-context Learners. CoRR abs/2408.01367 (2024) - [i9]Takashi Furuya, Koichi Taniguchi, Satoshi Okuda:
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations. CoRR abs/2410.02151 (2024) - [i8]Takashi Furuya, Anastasis Kratsios:
Simultaneously Solving FBSDEs with Neural Operators of Logarithmic Depth, Constant Width, and Sub-Linear Rank. CoRR abs/2410.14788 (2024) - [i7]Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas:
Can neural operators always be continuously discretized? CoRR abs/2412.03393 (2024) - 2023
- [i6]Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop:
Fine-tuning Neural-Operator architectures for training and generalization. CoRR abs/2301.11509 (2023) - [i5]Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop:
Globally injective and bijective neural operators. CoRR abs/2306.03982 (2023) - [i4]Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada:
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. CoRR abs/2312.00991 (2023) - 2022
- [i3]Takashi Furuya, Hiroyuki Kusumoto, Koichi Taniguchi, Naoya Kanno, Kazuma Suetake:
Variational Inference with Gaussian Mixture by Entropy Approximation. CoRR abs/2202.13059 (2022) - [i2]Takashi Furuya, Roland Potthast:
Inverse medium scattering problems with Kalman filter techniques. CoRR abs/2207.05398 (2022) - 2021
- [i1]Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon:
Spectral Pruning for Recurrent Neural Networks. CoRR abs/2105.10832 (2021)
Coauthor Index
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