Takashi Furuya

5 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2) ❓ The Questioner

Venues

ICLR (2) NeurIPS (2) AISTATS (1)

Top co-authors

Maarten V. de Hoop (3) Matti Lassas (2) Michael Puthawala (2) Koichi Taniguchi (2) Kazuma Suetake (1) Ryuji Saiin (1) Gabriel Peyré (1) Satoshi Okuda (1) Hiroyuki Kusumoto (1) Tomohiro Daimon (1)

Research topics

Deep Learning (4) Machine Learning (3) Architectures (3) Optimization & Theory · Machine Learning (3) Mathematics & Optimization (2) Mathematics (2) Techniques (2) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

neural operator (3) universal approximator (2) network pruning (1) generalization error (1) recurrent neural network (1) partial differential equation (1) operator learning (1) approximation rate (1) parameter reduction (1) category theory (1) neural network (1) integral equation (1) picard iteration (1) injective mapping (1) solution operator (1) spectral pruning (1) fredholm theory (1) surjective mapping (1) discretization invariance (1) attention mechanism (1)

Papers

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations ICLR 2025 Transformers are Universal In-context Learners ICLR 2025 Can neural operators always be continuously discretized? NeurIPS 2024 Globally injective and bijective neural operators NeurIPS 2023 Spectral Pruning for Recurrent Neural Networks AISTATS 2022