Iwasawa, Yusuke

29 publications

IJCAI 2025 A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-Enabled Robotics Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo
ICML 2025 Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
TMLR 2025 Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
ICLRW 2025 FullDiffusion: Diffusion Models Without Time Truncation Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
CVPR 2025 Image Referenced Sketch Colorization Based on Animation Creation Workflow Dingkun Yan, Xinrui Wang, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
ICLRW 2025 In-Context Meta Learning Induces Multi-Phase Circuit Emergence Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
ICLRW 2025 MMA: Benchmarking Multi-Modal Large Language Model in Ambiguity Contexts Ru Wang, Selena Song, Liang Ding, Mingming Gong, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
ICLR 2025 Rethinking Evaluation of Sparse Autoencoders Through the Representation of Polysemous Words Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo
NeurIPS 2025 Topology of Reasoning: Understanding Large Reasoning Models Through Reasoning Graph Properties Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
NeurIPS 2024 ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
TMLR 2024 Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
ICLR 2023 A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu
ICML 2023 End-to-End Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
NeurIPSW 2022 Control Graph as Unified IO for Morphology-Task Generalization Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu
NeurIPSW 2022 Control Graph as Unified IO for Morphology-Task Generalization Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu
NeurIPS 2022 Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
NeurIPS 2022 Large Language Models Are Zero-Shot Reasoners Takeshi Kojima, Shixiang Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
ICMLW 2022 Large Language Models Are Zero-Shot Reasoners Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
IJCAI 2022 Robustifying Vision Transformer Without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
L4DC 2021 Estimating Disentangled Belief About Hidden State and Hidden Task for Meta-Reinforcement Learning Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
ICLR 2021 Group Equivariant Conditional Neural Processes Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
MLJ 2021 Information-Theoretic Regularization for Learning Global Features by Sequential VAE Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
NeurIPS 2021 Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization Yusuke Iwasawa, Yutaka Matsuo
IJCAI 2020 Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo
ICLRW 2019 Adversarial Feature Learning Under Accuracy Constraint for Domain Generalization Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
ECML-PKDD 2019 Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
ICLRW 2019 Invariant Feature Learning by Attribute Perception Matching Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo
ICCVW 2019 UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-on Network Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo
IJCAI 2017 Privacy Issues Regarding the Application of DNNs to Activity-Recognition Using Wearables and Its Countermeasures by Use of Adversarial Training Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi, Yutaka Matsuo