Soichiro Kumano

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Intensity Distribution

Regression Model

Top Venues

Publications

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Theoretical Understanding of Learning from Adversarial Perturbations. CoRR (2024)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Theoretical Understanding of Learning from Adversarial Perturbations. ICLR (2024)
Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Soichiro Kumano, Toshihiko Yamasaki
Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models. CoRR (2024)
Zaiying Zhao, Soichiro Kumano, Toshihiko Yamasaki
Language-guided Detection and Mitigation of Unknown Dataset Bias. CoRR (2024)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Sparse fooling images: Fooling machine perception through unrecognizable images. Pattern Recognit. Lett. 172 (2023)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Adversarial Training from Mean Field Perspective. NeurIPS (2023)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Superclass Adversarial Attack. CoRR (2022)
Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki
Prediction of Seismic Intensity Distributions Using Neural Networks. CoRR (2022)
Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation. CoRR (2022)
Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki
Prediction of Seismic Intensity Distributions Using Neural Networks. GCCE (2022)
Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki
Improving Robustness to out-of-Distribution Data by Frequency-Based Augmentation. ICIP (2022)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images. CoRR (2020)