Sato, Ikuro

18 publications

NeurIPS 2025 Masked Gated Linear Unit Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa, Ikuro Sato, Rio Yokota

ICCV 2025 PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups Sakuya Ota, Qing Yu, Kent Fujiwara, Satoshi Ikehata, Ikuro Sato

AAAI 2025 Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato

AAAI 2024 Efficient Target Propagation by Deriving Analytical Solution Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue

TMLR 2023 Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas

AAAI 2023 Fixed-Weight Difference Target Propagation Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato

AISTATS 2023 Learning with Partial Forgetting in Modern Hopfield Networks Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue

CVPRW 2023 Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki

CVPRW 2023 Pixel-Level Contrastive Learning of Driving Videos with Optical Flow Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota

NeurIPSW 2022 Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma, Kartik Ahuja, Ioannis Mitliagkas, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato

ICML 2022 Feature Space Particle Inference for Neural Network Ensembles Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami

ECCV 2022 Implicit Neural Representations for Variable Length Human Motion Generation Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda

ICML 2022 PoF: Post-Training of Feature Extractor for Improving Generalization Ikuro Sato, Yamada Ryota, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami

NeurIPSW 2021 Smooth Transfer Learning for Source-to-Target Generalization Keita Takayama, Ikuro Sato, Teppei Suzuki, Rei Kawakami, Kuniaki Uto, Koichi Shinoda

AAAI 2020 Adversarial Transformations for Semi-Supervised Learning Teppei Suzuki, Ikuro Sato

ICML 2019 Breaking Inter-Layer Co-Adaptation by Classifier Anonymization Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka

ICCVW 2017 Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi

ECCV 2014 SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection Mitsuru Ambai, Ikuro Sato