Satoshi Hayakawa

38 papers A* 6A 1B 1C 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion. Trans. Mach. Learn. Res. Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji
2025	J	`jnl`	Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution. CoRR Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji
2025	J	`jnl`	Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion. CoRR Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji
2025	A*	`conf`	Distillation of Discrete Diffusion through Dimensional Correlations. ICML Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji
2025	A*	`conf`	Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. ICLR Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji
2025	J	`jnl`	MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval. CoRR Qiyu Wu, Shuyang Cui, Satoshi Hayakawa, Wei-Yao Wang, Hiromi Wakaki, Yuki Mitsufuji
2025	J	`jnl`	SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator. CoRR Yuhta Takida, Satoshi Hayakawa, Takashi Shibuya, Masaaki Imaizumi, Naoki Murata, Bac Nguyen, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuki Mitsufuji
2025	J	`jnl`	Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity. CoRR Naoki Yoshida, Satoshi Hayakawa, Yuhta Takida, Toshimitsu Uesaka, Hiromi Wakaki, Yuki Mitsufuji
2024	J	`jnl`	A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting. CoRR Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Saad Hamid, Harald Oberhauser, Michael A. Osborne
2024	A	`conf`	Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. AISTATS Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne
2024	J	`jnl`	Distillation of Discrete Diffusion through Dimensional Correlations. CoRR Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji
2024	J	`jnl`	Policy Gradient with Kernel Quadrature. Trans. Mach. Learn. Res. Satoshi Hayakawa, Tetsuro Morimura
2024	J	`jnl`	Synthesis of adaptive gain robust model-following/tracking controllers for a class of uncertain systems via piecewise Lyapunov functions. Int. J. Control Satoshi Hayakawa, Takuya Nakagawa, Kazuma Hasegawa, Hidetoshi Oya, Yoshikatsu Hoshi
2023	J	`jnl`	Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature. CoRR Masaki Adachi, Satoshi Hayakawa, Xingchen Wan, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2023	J	`jnl`	Policy Gradient with Kernel Quadrature. CoRR Satoshi Hayakawa, Tetsuro Morimura
2023	A*	`conf`	Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. ICML Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda
2023	J	`jnl`	Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. CoRR Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda
2023	J	`jnl`	SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints. CoRR Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2023	A*	`conf`	Sampling-based Nyström Approximation and Kernel Quadrature. ICML Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2023	J	`jnl`	Sampling-based Nyström Approximation and Kernel Quadrature. CoRR Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2023	J	`jnl`	Synthesis of adaptive gain robust model-following/tracking controllers for uncertain systems with multiple unknown dead-zone inputs via piecewise Lyapunov functions. Int. J. Syst. Sci. Satoshi Hayakawa, Takuya Nakagawa, Kazuma Hasegawa, Hidetoshi Oya, Yoshikatsu Hoshi
2022	A*	`conf`	Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. NeurIPS Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2022	J	`jnl`	Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. CoRR Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2022	J	`jnl`	Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures. CoRR Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2022	A*	`conf`	Positively Weighted Kernel Quadrature via Subsampling. NeurIPS Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2022	C	`conf`	Synthesis of Adaptive Gain Robust Controllers for Polytopic Uncertain Systems with Multiple Unknown Dead-Zone Inputs. IECON Satoshi Hayakawa, Takuya Nakagawa, Hidetoshi Oya, Yoshikatsu Hoshi
2021	J	`jnl`	Positively Weighted Kernel Quadrature via Subsampling. CoRR Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons
2020	J	`jnl`	Error bounds of potential theoretic numerical integration formulas in weighted Hardy spaces. JSIAM Lett. Satoshi Hayakawa, Ken'ichiro Tanaka
2020	J	`jnl`	Monte Carlo construction of cubature on Wiener space. CoRR Satoshi Hayakawa, Ken'ichiro Tanaka
2020	J	`jnl`	Monte-Carlo Cubature construction. CoRR Satoshi Hayakawa
2020	J	`jnl`	On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces. Neural Networks Satoshi Hayakawa, Taiji Suzuki
2019	J	`jnl`	Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization. CoRR Satoshi Hayakawa, Ken'ichiro Tanaka
2019	J	`jnl`	On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces. CoRR Satoshi Hayakawa, Taiji Suzuki
2016	—	`conf`	Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model. SSCI Takanobu Mizuta, Yoshito Noritake, Satoshi Hayakawa, Kiyoshi Izumi
2013	—	`conf`	In vitro cytocompatibility of microspheres derived from chitosan-silicate hybrids. MHS Yuki Shirosaki, Kohei Okamoto, Satoshi Hayakawa, Akiyoshi Osaka
2007	—	`conf`	Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions. KES (2) Sadaaki Miyamoto, Satoshi Hayakawa, Yuichi Kawasaki
2006	—	`conf`	A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations. RSCTC Sadaaki Miyamoto, Satoshi Hayakawa
2005	B	`conf`	Classification and clustering of information objects based on fuzzy neighborhood system. SMC Sadaaki Miyamoto, Yasunori Endo, Satoshi Hayakawa, Erina Kataoka