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Satoshi Hayakawa
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2020 – today
- 2024
- [j5]Satoshi Hayakawa, Takuya Nakagawa, Kazuma Hasegawa, Hidetoshi Oya, Yoshikatsu Hoshi:
Synthesis of adaptive gain robust model-following/tracking controllers for a class of uncertain systems via piecewise Lyapunov functions. Int. J. Control 97(8): 1780-1787 (2024) - [j4]Satoshi Hayakawa, Tetsuro Morimura:
Policy Gradient with Kernel Quadrature. Trans. Mach. Learn. Res. 2024 (2024) - [c11]Masaki Adachi
, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne:
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. AISTATS 2024: 496-504 - [i15]Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Saad Hamid, Harald Oberhauser, Michael A. Osborne:
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting. CoRR abs/2404.12219 (2024) - [i14]Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji:
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. CoRR abs/2410.07761 (2024) - [i13]Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji:
Distillation of Discrete Diffusion through Dimensional Correlations. CoRR abs/2410.08709 (2024) - 2023
- [j3]Satoshi Hayakawa, Takuya Nakagawa, Kazuma Hasegawa, Hidetoshi Oya, Yoshikatsu Hoshi:
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. 54(8): 1790-1802 (2023) - [c10]Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons:
Sampling-based Nyström Approximation and Kernel Quadrature. ICML 2023: 12678-12699 - [c9]Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda:
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. ICML 2023: 39008-39034 - [i12]Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons:
Sampling-based Nyström Approximation and Kernel Quadrature. CoRR abs/2301.09517 (2023) - [i11]Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne:
SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints. CoRR abs/2301.11832 (2023) - [i10]Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda:
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. CoRR abs/2301.11936 (2023) - [i9]Masaki Adachi, Satoshi Hayakawa, Xingchen Wan, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne:
Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature. CoRR abs/2306.05843 (2023) - [i8]Satoshi Hayakawa, Tetsuro Morimura:
Policy Gradient with Kernel Quadrature. CoRR abs/2310.14768 (2023) - 2022
- [c8]Satoshi Hayakawa, Takuya Nakagawa, Hidetoshi Oya, Yoshikatsu Hoshi:
Synthesis of Adaptive Gain Robust Controllers for Polytopic Uncertain Systems with Multiple Unknown Dead-Zone Inputs. IECON 2022: 1-6 - [c7]Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne:
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. NeurIPS 2022 - [c6]Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons:
Positively Weighted Kernel Quadrature via Subsampling. NeurIPS 2022 - [i7]Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne:
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. CoRR abs/2206.04734 (2022) - [i6]Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons:
Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures. CoRR abs/2210.05787 (2022) - 2021
- [i5]Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons:
Positively Weighted Kernel Quadrature via Subsampling. CoRR abs/2107.09597 (2021) - 2020
- [j2]Satoshi Hayakawa, Ken'ichiro Tanaka
Error bounds of potential theoretic numerical integration formulas in weighted Hardy spaces. JSIAM Lett. 12: 21-24 (2020) - [j1]Satoshi Hayakawa
On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces. Neural Networks 123: 343-361 (2020) - [i4]Satoshi Hayakawa:
Monte-Carlo Cubature construction. CoRR abs/2001.00843 (2020) - [i3]Satoshi Hayakawa, Ken'ichiro Tanaka:
Monte Carlo construction of cubature on Wiener space. CoRR abs/2008.08219 (2020)
2010 – 2019
- 2019
- [i2]Satoshi Hayakawa, Taiji Suzuki:
On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces. CoRR abs/1905.09195 (2019) - [i1]Satoshi Hayakawa, Ken'ichiro Tanaka:
Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization. CoRR abs/1906.03133 (2019) - 2016
- [c5]Takanobu Mizuta
Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model. SSCI 2016: 1-8 - 2013
- [c4]Yuki Shirosaki
In vitro cytocompatibility of microspheres derived from chitosan-silicate hybrids. MHS 2013: 1-2
2000 – 2009
- 2007
- [c3]Sadaaki Miyamoto, Satoshi Hayakawa, Yuichi Kawasaki:
Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions. KES (2) 2007: 517-524 - 2006
- [c2]Sadaaki Miyamoto, Satoshi Hayakawa:
A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations. RSCTC 2006: 882-890 - 2005
- [c1]Sadaaki Miyamoto, Yasunori Endo, Satoshi Hayakawa, Erina Kataoka:
Classification and clustering of information objects based on fuzzy neighborhood system. SMC 2005: 3210-3215
Coauthor Index
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last updated on 2024-11-28 21:26 CET by the dblp team
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