Soichiro Kumano

17 papers A* 3B 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial Training from Mean Field Perspective. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2025	J	`jnl`	Adversarially Pretrained Transformers may be Universally Robust In-Context Learners. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2024	B	`conf`	Adversarially Robust Continual Learning with Anti-Forgetting Loss. ICIP Koki Mukai, Soichiro Kumano, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki
2024	J	`jnl`	Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models. CoRR Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Soichiro Kumano, Toshihiko Yamasaki
2024	J	`jnl`	Language-guided Detection and Mitigation of Unknown Dataset Bias. CoRR Zaiying Zhao, Soichiro Kumano, Toshihiko Yamasaki
2024	A*	`conf`	Theoretical Understanding of Learning from Adversarial Perturbations. ICLR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2024	J	`jnl`	Theoretical Understanding of Learning from Adversarial Perturbations. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2024	A*	`conf`	Wide Two-Layer Networks can Learn from Adversarial Perturbations. NeurIPS Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2024	J	`jnl`	Wide Two-Layer Networks can Learn from Adversarial Perturbations. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2023	A*	`conf`	Adversarial Training from Mean Field Perspective. NeurIPS Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2023	J	`jnl`	Sparse fooling images: Fooling machine perception through unrecognizable images. Pattern Recognit. Lett. Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2022	J	`jnl`	Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation. CoRR Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki
2022	B	`conf`	Improving Robustness to out-of-Distribution Data by Frequency-Based Augmentation. ICIP Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki
2022	—	`conf`	Prediction of Seismic Intensity Distributions Using Neural Networks. GCCE Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki
2022	J	`jnl`	Prediction of Seismic Intensity Distributions Using Neural Networks. CoRR Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki
2022	J	`jnl`	Superclass Adversarial Attack. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2020	J	`jnl`	Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki