Tomotake Sasaki

32 papers A* 2A 1C 1Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations. Trans. Mach. Learn. Res. Avi Cooper, Daniel Harari, Tomotake Sasaki, Spandan Madan, Hanspeter Pfister, Pawan Sinha, Xavier Boix
2025	J	`jnl`	In-distribution adversarial attacks on object recognition models using gradient-free search. Trans. Mach. Learn. Res. Spandan Madan, Tomotake Sasaki, Hanspeter Pfister, Tzu-Mao Li, Xavier Boix
2024	J	`jnl`	D3: Data Diversity Design for Systematic Generalization in Visual Question Answering. Trans. Mach. Learn. Res. Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix
2024	J	`jnl`	Transformer Module Networks for Systematic Generalization in Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki
2023	J	`jnl`	D3: Data Diversity Design for Systematic Generalization in Visual Question Answering. CoRR Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix
2023	J	`jnl`	Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts. CoRR Anirban Sarkar, Matthew Groth, Ian Mason, Tomotake Sasaki, Xavier Boix
2023	J	`jnl`	HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models. CoRR Kentaro Takemoto, Moyuru Yamada, Tomotake Sasaki, Hisanao Akima
2023	J	`jnl`	Modularity Trumps Invariance for Compositional Robustness. CoRR Ian Mason, Anirban Sarkar, Tomotake Sasaki, Xavier Boix
2022	J	`jnl`	Do Neural Networks for Segmentation Understand Insideness? CoRR Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix
2022	—	`conf`	Safe Exploration Method for Reinforcement Learning Under Existence of Disturbance. ECML/PKDD (4) Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami, Toru Namerikawa
2022	J	`jnl`	Safe Exploration Method for Reinforcement Learning under Existence of Disturbance. CoRR Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami, Toru Namerikawa
2022	J	`jnl`	The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions. Frontiers Comput. Neurosci. Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix
2022	J	`jnl`	Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. Neural Networks Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki
2022	J	`jnl`	Transformer Module Networks for Systematic Generalization in Visual Question Answering. CoRR Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki
2022	J	`jnl`	When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations. Nat. Mach. Intell. Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix
2021	A	`conf`	Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. IROS Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh
2021	J	`jnl`	Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. CoRR Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh
2021	J	`jnl`	Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction. CoRR Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane
2021	J	`jnl`	Do Neural Networks for Segmentation Understand Insideness? Neural Comput. Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix
2021	J	`jnl`	How Modular Should Neural Module Networks Be for Systematic Generalization? CoRR Vanessa D'Amario, Tomotake Sasaki, Xavier Boix
2021	A*	`conf`	How Modular should Neural Module Networks Be for Systematic Generalization? NeurIPS Vanessa D'Amario, Tomotake Sasaki, Xavier Boix
2021	J	`jnl`	Model-free two-step design for improving transient learning performance in nonlinear optimal regulator problems. CoRR Yuka Masumoto, Yoshihiro Okawa, Tomotake Sasaki, Yutaka Hori
2021	J	`jnl`	Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers. CoRR Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister
2021	J	`jnl`	Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections. CoRR Shobhita Sundaram, Darius Sinha, Matthew Groth, Tomotake Sasaki, Xavier Boix
2021	J	`jnl`	The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions. CoRR Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix
2021	J	`jnl`	Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. CoRR Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki
2021	J	`jnl`	To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? CoRR Avi Cooper, Xavier Boix, Daniel Harari, Spandan Madan, Hanspeter Pfister, Tomotake Sasaki, Pawan Sinha
2020	J	`jnl`	On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. CoRR Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix
2020	A*	`conf`	Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space. ICML Keizo Kato, Jing Zhou, Tomotake Sasaki, Akira Nakagawa
2019	—	`conf`	Control Approach Combining Reinforcement Learning and Model-Based Control. ASCC Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane
2015	—	`conf`	State-dependent virtual hierarchization of batteries for realizing a glocal control in energy network systems and its application to peak power reduction in office. ASCC Hitoshi Yanami, Tomotake Sasaki, Junji Kaneko, Shinji Hara, Yafei Wang, Satoshi Moriyama, Hidenao Iwane
2010	C	`conf`	Accessibility Analysis for Controlled Quantum Systems under Continuous Quantum Measurement. CCA Tomotake Sasaki, Shinji Hara, Koji Tsumura