Shohei Taniguchi

1. ADOPT: Modified Adam Can Converge with Any β₂ with the Optimal Rate
   2024/11/05 by Shohei Taniguchi, Taniguchi, Shohei, Keno Harada +18 · 3 voices · 4 citations
   Computer Science · Mathematics · #Computability, Logic, AI Algorithms #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
2. Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
   2025/05/22 by Gouki Minegishi, Hiroki Furuta, Minegishi, Gouki +7 · 8 citations
   Computer Science · Materials Science · #Topic Modeling #Machine Learning in Materials Science #Domain Adaptation and Few-Shot Learning
3. End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
   2023/05/31 by Shohei Taniguchi, Masahiro Suzuki, Taniguchi, Shohei +5 · 1 citation
   Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
4. World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator
   2022/01/01 by Tatsuya Matsushima, Yuki Noguchi, Matsushima, Tatsuya +23 · 1 citation
   Computer Science · Engineering · Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Robotic Path Planning Algorithms #Robotics (cs.RO) #Social Robot Interaction and HRI #Systems and Control (eess.SY) #electronic engineering #information engineering
5. Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation
   2026/07/16 by Ku Onoda, Paavo Parmas, Hiroki Furuta +4
   #cs.LG #cs.AI #cs.CV