Furuya, Takashi
- Transformers are Universal In-context Learners
2024/08/02 by Takashi Furuya, Furuya, Takashi, Maarten V. de Hoop +3 · 9 citations
Computer Science · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Machine Learning (stat.ML) #Robotics and Automated Systems #Speech and dialogue systems
- Mixture of Experts Softens the Curse of Dimensionality in Operator Learning
2024/04/13 by Kratsios, Anastasis, Furuya, Takashi, Benitez, Jose Antonio Lara +2 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- Globally injective and bijective neural operators
2023/06/06 by Takashi Furuya, Michael Puthawala, Furuya, Takashi +5 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical methods in inverse problems
- Is In-Context Universality Enough? MLPs are Also Universal In-Context
2025/02/05 by Anastasis Kratsios, Kratsios, Anastasis, Takashi Furuya +1 · 2 citations
Social Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Language and cultural evolution #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Numerical Analysis (math.NA) #Probability (math.PR)
- Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
2024/10/03 by Takashi Furuya, Koichi Taniguchi, Furuya, Takashi +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Numerical Analysis (math.NA)