Masahiro Fujisawa

20 papers A* 4A 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature. ProbNum Masaki Adachi, Masahiro Fujisawa, Michael A. Osborne
2025	J	`jnl`	Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature. CoRR Masaki Adachi, Masahiro Fujisawa, Michael A. Osborne
2025	J	`jnl`	Generative Modeling through Spectral Analysis of Koopman Operator. CoRR Yuanchao Xu, Fengyi Li, Masahiro Fujisawa, Youssef Marzouk, Isao Ishikawa
2025	J	`jnl`	Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables. CoRR Futoshi Futami, Masahiro Fujisawa
2025	J	`jnl`	L CoRR Masahiro Fujisawa, Futoshi Futami
2025	J	`jnl`	On the Convergence of SVGD in KL divergence via Approximate gradient flow. Trans. Mach. Learn. Res. Masahiro Fujisawa, Futoshi Futami
2025	A*	`conf`	PAC-Bayes Analysis for Recalibration in Classification. ICML Masahiro Fujisawa, Futoshi Futami
2025	J	`jnl`	Scalable Valuation of Human Feedback through Provably Robust Model Alignment. CoRR Masahiro Fujisawa, Masaki Adachi, Michael A. Osborne
2025	J	`jnl`	Variational OOD State Correction for Offline Reinforcement Learning. CoRR Ke Jiang, Wen Jiang, Masahiro Fujisawa, Xiaoyang Tan
2024	A*	`conf`	Information-theoretic Generalization Analysis for Expected Calibration Error. NeurIPS Futoshi Futami, Masahiro Fujisawa
2024	J	`jnl`	Information-theoretic Generalization Analysis for Expected Calibration Error. CoRR Futoshi Futami, Masahiro Fujisawa
2024	J	`jnl`	PAC-Bayes Analysis for Recalibration in Classification. CoRR Masahiro Fujisawa, Futoshi Futami
2024	A*	`conf`	Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective. NeurIPS Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato
2023	J	`jnl`	Initialization Bias of Fourier Neural Operator: Revisiting the Edge of Chaos. CoRR Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato
2023	A*	`conf`	Time-Independent Information-Theoretic Generalization Bounds for SGLD. NeurIPS Futoshi Futami, Masahiro Fujisawa
2023	J	`jnl`	Time-Independent Information-Theoretic Generalization Bounds for SGLD. CoRR Futoshi Futami, Masahiro Fujisawa
2021	J	`jnl`	Multilevel Monte Carlo Variational Inference. J. Mach. Learn. Res. Masahiro Fujisawa, Issei Sato
2021	A	`conf`	γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator. AISTATS Masahiro Fujisawa, Takeshi Teshima, Issei Sato, Masashi Sugiyama
2020	J	`jnl`	γ-ABC: Outlier-Robust Approximate Bayesian Computation based on Robust Divergence Estimator. CoRR Masahiro Fujisawa, Takeshi Teshima, Issei Sato
2019	J	`jnl`	Multi-level Monte Carlo Variational Inference. CoRR Masahiro Fujisawa, Issei Sato