Tomotake Sasaki

According to our database, Tomotake Sasaki authored at least 24 papers between 2010 and 2024.

Collaborative distances:

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

2024

Transformer Module Networks for Systematic Generalization in Visual Question Answering.

Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

D3: Data Diversity Design for Systematic Generalization in Visual Question Answering.

Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix

Trans. Mach. Learn. Res., 2024

2023

Modularity Trumps Invariance for Compositional Robustness.

Ian Mason, Anirban Sarkar, Tomotake Sasaki, Xavier Boix

CoRR, 2023

HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models.

Kentaro Takemoto, Moyuru Yamada, Tomotake Sasaki, Hisanao Akima

CoRR, 2023

Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts.

Anirban Sarkar, Matthew Groth, Ian Mason, Tomotake Sasaki, Xavier Boix

CoRR, 2023

2022

Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations.

Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki

Neural Networks, 2022

When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations.

Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix

Nat. Mach. Intell., 2022

The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions.

Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix

Frontiers Comput. Neurosci., 2022

Safe Exploration Method for Reinforcement Learning Under Existence of Disturbance.

Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami, Toru Namerikawa

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Do Neural Networks for Segmentation Understand Insideness?

Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix

Neural Comput., 2021

Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections.

Shobhita Sundaram, Darius Sinha, Matthew Groth, Tomotake Sasaki, Xavier Boix

CoRR, 2021

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss.

Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki

CoRR, 2021

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?

Avi Cooper, Xavier Boix, Daniel Harari, Spandan Madan, Hanspeter Pfister, Tomotake Sasaki, Pawan Sinha

CoRR, 2021

The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions.

Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix

CoRR, 2021

Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers.

Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister

CoRR, 2021

Model-free two-step design for improving transient learning performance in nonlinear optimal regulator problems.

Yuka Masumoto, Yoshihiro Okawa, Tomotake Sasaki, Yutaka Hori

CoRR, 2021

Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction.

Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane

CoRR, 2021

How Modular should Neural Module Networks Be for Systematic Generalization?

Vanessa D'Amario, Tomotake Sasaki, Xavier Boix

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm.

Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations.

Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix

CoRR, 2020

Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space.

Keizo Kato, Jing Zhou, Tomotake Sasaki, Akira Nakagawa

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Control Approach Combining Reinforcement Learning and Model-Based Control.

Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane

Proceedings of the 12th Asian Control Conference, 2019

2015

State-dependent virtual hierarchization of batteries for realizing a glocal control in energy network systems and its application to peak power reduction in office.

Hitoshi Yanami, Tomotake Sasaki, Junji Kaneko, Shinji Hara, Yafei Wang, Satoshi Moriyama, Hidenao Iwane

Proceedings of the 10th Asian Control Conference, 2015

2010

Accessibility Analysis for Controlled Quantum Systems under Continuous Quantum Measurement.

Tomotake Sasaki, Shinji Hara, Koji Tsumura

Proceedings of the IEEE International Conference on Control Applications, 2010