Takashi Furuya

According to our database, Takashi Furuya authored at least 27 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Function graph transformers universally approximate operators between function spaces.

Takashi Furuya, S. David Mis, Ivan Dokmanic, Maarten V. de Hoop, Matti Lassas

CoRR, May, 2026

Training Infinitely Deep and Wide Transformers.

Raphaël Barboni, Maarten V. de Hoop, Takashi Furuya, Gabriel Peyré

CoRR, May, 2026

Approximation of Maximally Monotone Operators : A Graph Convergence Perspective.

Takashi Furuya, Yury Korolev, Takaharu Yaguchi

CoRR, May, 2026

Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System.

Takashi Furuya, Ryo Ozawa, Jenn-Nan Wang

CoRR, May, 2026

Approximation Theory for Lipschitz Continuous Transformers.

Takashi Furuya, Davide Murari, Carola-Bibiane Schönlieb

CoRR, February, 2026

Approximation rates in Besov norms and sample-complexity of Kolmogorov-Arnold networks with residual connections.

Anastasis Kratsios, Bum Jun Kim, Takashi Furuya

Neural Networks, 2026

2025

One model to solve them all: 2BSDE families via neural operators.

Takashi Furuya, Anastasis Kratsios, Dylan Possamaï, Bogdan Raonic

CoRR, November, 2025

Transformers through the lens of support-preserving maps between measures.

Takashi Furuya, Maarten V. de Hoop, Matti Lassas

CoRR, September, 2025

Kolmogorov-Arnold Networks: Approximation and Learning Guarantees for Functions and their Derivatives.

Anastasis Kratsios, Takashi Furuya

CoRR, April, 2025

Is In-Context Universality Enough? MLPs are Also Universal In-Context.

Anastasis Kratsios, Takashi Furuya

CoRR, February, 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

Trans. Mach. Learn. Res., 2025

Approximation theory for 1-Lipschitz ResNets.

Davide Murari, Takashi Furuya, Carola-Bibiane Schönlieb

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations.

Takashi Furuya, Koichi Taniguchi, Satoshi Okuda

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Transformers are Universal In-context Learners.

Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training.

Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada

Trans. Mach. Learn. Res., 2024

Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation.

Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Anastasis Kratsios, Xavier Tricoche, Maarten V. de Hoop

J. Comput. Phys., 2024

Simultaneously Solving FBSDEs with Neural Operators of Logarithmic Depth, Constant Width, and Sub-Linear Rank.

Takashi Furuya, Anastasis Kratsios

CoRR, 2024

Mixture of Experts Soften the Curse of Dimensionality in Operator Learning.

Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop

CoRR, 2024

Breaking the Curse of Dimensionality with Distributed Neural Computation.

Haitz Sáez de Ocáriz Borde, Takashi Furuya, Anastasis Kratsios, Marc T. Law

CoRR, 2024

Can neural operators always be continuously discretized?

Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Fine-tuning Neural-Operator architectures for training and generalization.

Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop

CoRR, 2023

Globally injective and bijective neural operators.

Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Inverse medium scattering problems with Kalman filter techniques.

Takashi Furuya, Roland Potthast

CoRR, 2022

Variational Inference with Gaussian Mixture by Entropy Approximation.

Takashi Furuya, Hiroyuki Kusumoto, Koichi Taniguchi, Naoya Kanno, Kazuma Suetake

CoRR, 2022

Assessment of Aqueduct Bridge Failure in Wakayama City, Japan, Based on Uav Surveying Flights and High-Resolution Sar Data.

Fumio Yamazaki, Wen Liu, Takashi Furuya, Yoshihisa Maruyama

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Spectral Pruning for Recurrent Neural Networks.

Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2004

Authoring augmented reality: a code-free approach.

Rodney Berry, Naoto Hikawa, Mao Makino, Masami Suzuki, Takashi Furuya

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004