News

2024.05.31 以下の論文がTMLRに採択されました．

Keitaro Sakamoto and Issei Sato.
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training

2024.05.17 以下の論文がKDD2024に採択されました．

Soma Yokoi and Issei Sato
Top-Down Bayesian Posterior Sampling for Sum-Product Networks

2024.01. 17 以下の論文がICLR2024に採択されました．

Tokio Kajitsuka and Issei Sato.
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?.
Naoya Hasegawa and Issei Sato.
Exploring Weight Balancing on Long-Tailed Recognition Problem.

2023.10.06 以下の論文がNature comunicationsに採択されました．　
Masakazu Agetsuma, Issei Sato, Yasuhiro R. Tanaka, Luis Carrillo-Reid, Atsushi Kasai, Atsushi Noritake, Yoshiyuki Arai, Miki Yoshitomo, Takashi Inagaki, Hiroshi Yukawa, Hitoshi Hashimoto, Junichi Nabekura & Takeharu Nagai. Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation.

2023.09.25 以下の論文がNeurips2023に採択されました．
Zeke Xie, zhiqiang xu, Jingzhao Zhang, Issei Sato, Masashi Sugiyama. On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective.

2023.04.01 河瀬良亮先生が助教として着任しました。

2023.01.21 以下の論文がICLR2022にspotlight(notable-top-25%)として採択されました\
Takeshi Koshizuka, Issei Sato. Schrödinger Bridge: Diffusion Modeling for Population Dynamics.

2022.09.15 以下の論文がNeuriPS2022に採択されました
Mingcheng Hou and Issei Sato. A Closer Look at Prototype Classifier for Few-shot Image Classification.
Keitaro Sakamoto and Issei Sato. Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective.

2022.05.15 以下の論文がICML2022にLong presentation (118/5630)で採択されました
Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, and Masashi Sugiyama. Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum.

2022.04.15 以下の論文がIJCAI-ECAI2022のSurvey Track (38/209,18%)に採択されました
Kento Nozawa and Issei Sato. Evaluation Methods for Representation Learning: A Survey

2022.02.17. 以下の論文がNeural computationに採択されました

Zhenghang Cui and Issei Sato. Active Classification With Uncertainty Comparison Queries.

2022.01.21. 以下の論文がICLR2022に採択されました

Seiya Tokui and Issei Sato. Disentanglement Analysis with Partial Information Decomposition.

2022.01.18.以下の論文がAISTATS2022に採択されました

Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama. Pairwise Supervision Can Provably Elicit a Decision Boundary.
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama. Predictive variational Bayesian inference as risk-seeking optimization.

2021.09.29. 以下の論文がNeurIPS2021に採択されました

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, and Masashi Sugiyama. Loss function based second-order Jensen inequality and its application to particle variational inference.

Kento Nozawa and Issei Sato. Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning.

2021.08.12. SIGGRAPH2021で以下のコースワークを行います.

Yonghao Yue, Yuki Koyama, Issei Sato, Takeo Igarashi. User interfaces for high-dimensional design problems: from theories to implementations.

2021.08.11. 以下の論文がInternational Journal of Computer Assisted Radiology and Surgeryに採択されました.

Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Daisuke Sato, Naoto Hayashi, Osamu Abe. A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting.

2021.07.30. 以下の論文がEntropyに採択されました.

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato. Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices.

2021.05.28. 以下の論文がNeural Computationに採択されました．

Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, & Masashi Sugiyama. Semi-supervised ordinal regression based on empirical risk minimization.

2021.05.15. 以下の論文がNeural Computationに採択されました.

Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama. Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization.

2021.05.08. 以下の論文がICML2021に採択されました．

Nan Lu, Shida Lei, Gang Niu, Issei Sato, Masashi Sugiyama. Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification.

2021.02.23. 以下の論文がNeural Computationに採択されました．

Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama. Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.

2021. 01. 23. 以下の論文がAISTATS2021に採択されました．

Takahiro Mimori, Keiko Sasada, Hirotaka Matsui, and Issei Sato. Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain.

Masahiro Fujisawa, Takeshi Teshima, Issei Sato, and Masashi Sugiyama. γ-ABC: Outlier-robust approximate Bayesian computation based on a robust divergence estimator.

2021. 01. 13. 以下の論文がICLR2021に採択されました．

Zeke Xie, Issei Sato, Masashi Sugiyama. A diffusion theory for deep learning dynamics: Stochastic gradient descent exponentially favors flat minima.

2020. 12. 29 以下の論文がComputer Graphics Forumに採択されました．

Toby Chong, I‐Chao Shen, Issei Sato, and Takeo Igarashi. Interactive Optimization of Generative Image Modelling using Sequential Subspace Search and Content‐based Guidance.

2020. 09. 06 以下の論文がMachine learning journalに採択されました．

Soma Yokoi, Takuma Otsuka, and Issei Sato. Weak approximation of transformed stochastic gradient MCMC.

2020. 06. 01 以下の論文がICML2020に採択されました．

Futoshi Futami, Issei Sato, and Masashi Sugiyama. Accelerating the diffusion-based ensemble sampling by non-reversible dynamics.

Takeshi Teshima, Issei Sato, and Masashi Sugiyama. Few-shot domain adaptation by causal mechanism transfer.

Yusuke Tsuzuku, Issei Sato, and Masashi Sugiyama. Normalized flat minima: Exploring scale invariant definition of flat minima for neural networks using PAC-Bayesian analysis.

2020. 05. 01 以下の論文がSIGGRAPH 2020に採択されました．

Yuki Koyama, Issei Sato, and Masataka Goto. 2020. Sequential Gallery for Interactive Visual Design Optimization.

2020.03.09 以下の論文がInternational Journal of Computer Assisted Radiology and Surgeryに採択されました

Yukihiro Nomura, Soichiro Miki, Naoto Hayashi, Shouhei Hanaoka, Issei Sato, Takeharu Yoshikawa, Yoshitaka Masutani, and Osamu Abe. Novel platform for development, training, and validation of computer-assisted detection/diagnosis software.

2020. 03. 01 以下の論文がNeural Computationに採択されました．

Zhenghang Cui , Nontawat Charoenphakdee , Issei Sato, and Masashi Sugiyama. Classification from Triplet Comparison Data.

2020. 01. 20 以下の論文がThe Journal of Supercomputingに採択されました．

Yukihiro Nomura, Issei Sato, Toshihiro Hanawa, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Tetsuya Hoshino, Yuji Sekiya, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi , Osamu Abe. Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.