Soichiro Kumano

According to our database, Soichiro Kumano authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Adversarially Pretrained Transformers may be Universally Robust In-Context Learners.

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

CoRR, May, 2025

2024

Language-guided Detection and Mitigation of Unknown Dataset Bias.

Zaiying Zhao, Soichiro Kumano, Toshihiko Yamasaki

CoRR, 2024

Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models.

Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Soichiro Kumano, Toshihiko Yamasaki

CoRR, 2024

Wide Two-Layer Networks can Learn from Adversarial Perturbations.

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Theoretical Understanding of Learning from Adversarial Perturbations.

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adversarially Robust Continual Learning with Anti-Forgetting Loss.

Koki Mukai, Soichiro Kumano, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Sparse fooling images: Fooling machine perception through unrecognizable images.

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

Pattern Recognit. Lett., August, 2023

Adversarial Training from Mean Field Perspective.

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Superclass Adversarial Attack.

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

CoRR, 2022

Improving Robustness to out-of-Distribution Data by Frequency-Based Augmentation.

Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Prediction of Seismic Intensity Distributions Using Neural Networks.

Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki

Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022