| 2025 | AAAI | Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. | Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato |
| 2025 | ICASSP | Binary Stochastic Flip Optimization for Training Binary Neural Networks. | Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato |
| 2025 | ICCV | 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 |
| 2025 | ICIP | Measuring Distortion Strength with Dewarping Diffusion Models in Anomaly Detection. | Akira Uchida, Satoshi Ikehata, Yuichi Yoshida, Ikuro Sato |
| 2025 | WACV | CST: Character State Transformer for Object-Conditioned Human Motion Prediction. | Kuan-Wei Tseng, Rei Kawakami, Satoshi Ikehata, Ikuro Sato |
| 2024 | AAAI | Efficient Target Propagation by Deriving Analytical Solution. | Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue |
| 2024 | ACCV | Learning Non-uniform Step Sizes for Neural Network Quantization. | Shinya Gongyo, Jinrong Liang, Mitsuru Ambai, Rei Kawakami, Ikuro Sato |
| 2024 | ACCV | A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients. | Mao Tomita, Ikuro Sato, Rei Kawakami, Nakamasa Inoue, Satoshi Ikehata, Masayuki Tanaka |
| 2024 | ICIP | Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields. | Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata, Rei Kawakami, Ikuro Sato |
| 2024 | ICONIP | Transferring Teacher's Invariance to Student Through Data Augmentation Optimization. | Tamotsu Kurioka, Teppei Suzuki, Rei Kawakami, Ikuro Sato |
| 2023 | AAAI | Fixed-Weight Difference Target Propagation. | Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato |
| 2023 | AISTATS | Learning with Partial Forgetting in Modern Hopfield Networks. | Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue |
| 2023 | CVPR | Pixel-level Contrastive Learning of Driving Videos with Optical Flow. | Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota |
| 2023 | CVPR | Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array. | Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki |
| 2023 | MMM | EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor Data. | Yuzhe Hao, Kuniaki Uto, Asako Kanezaki, Ikuro Sato, Rei Kawakami, Koichi Shinoda |
| 2022 | BMVC | Multi-task Curriculum Learning based on Gradient Similarity. | Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato |
| 2022 | ECCV | Implicit Neural Representations for Variable Length Human Motion Generation. | Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda |
| 2022 | ICML | PoF: Post-Training of Feature Extractor for Improving Generalization. | Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami |
| 2022 | ICML | Feature Space Particle Inference for Neural Network Ensembles. | Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami |
| 2021 | ICIP | Disentangling Latent Groups Of Factors. | Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato |
| 2021 | IPAS | Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? | Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka |
| 2020 | AAAI | Adversarial Transformations for Semi-Supervised Learning. | Teppei Suzuki, Ikuro Sato |
| 2019 | ICCV | Generating Easy-to-Understand Referring Expressions for Target Identifications. | Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada |
| 2019 | ICML | Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. | Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka |
| 2017 | ICONIP | Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition. | Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura, Satoshi Matsuoka |
| 2016 | BMVC | Fast Eigen Matching. | Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato |
| 2014 | ACCV | Asymmetric Feature Representation for Object Recognition in Client Server System. | Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita |
| 2014 | ECCV | SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection. | Mitsuru Ambai, Ikuro Sato |