Masahito Ueda

1. Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality
   2010/09/27 by Shoichi Toyabe, Takahiro Sagawa, Masahito Ueda +2 · 2 voices · 26 citations
   Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Quantum Mechanics and Applications #cond-mat.stat-mech #stochastic dynamics and bifurcation
2. Non-Hermitian physics
   2020/07/02 by Yuto Ashida, Zongping Gong, Masahito Ueda · 223 citations
   Chemistry · Physics and Astronomy · #Advanced Physical and Chemical Molecular Interactions #Quantum Mechanics and Non-Hermitian Physics #Quantum chaos and dynamical systems
3. Neural Networks Fail to Learn Periodic Functions and How to Fix It
   2020/06/15 by Liu Ziyin, Tilman Hartwig, Ziyin, Liu +3 · 27 citations
   Computer Science · Decision Sciences · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stock Market Forecasting Methods
4. Spinor Bose gases: Symmetries, magnetism, and quantum dynamics
   2013/07/26 by Dan Stamper-Kurn, Dan M. Stamper-Kurn, Masahito Ueda · 18 citations
   Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #Quantum, superfluid, helium dynamics #Atomic and Subatomic Physics Research
5. Bound on the exponential growth rate of out-of-time-ordered correlators
   2018/07/30 by Naoto Tsuji, Tomohiro Shitara, Masahito Ueda · 1 voice · 4 citations
   Physics and Astronomy · Computer Science · #Quantum many-body systems #Quantum Information and Cryptography #Quantum and electron transport phenomena
6. Deep Gamblers: Learning to Abstain with Portfolio Theory
   2019/06/29 by Liu Ziyin, Zhikang Wang, Ziyin, Liu +9 · 7 citations
   Economics, Econometrics and Finance · Engineering · #FOS: Computer and information sciences #Financial Markets and Investment Strategies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reservoir Engineering and Simulation Methods #Sports Analytics and Performance
7. Strength of Minibatch Noise in SGD
   2021/02/10 by Liu Ziyin, Kangqiao Liu, Ziyin, Liu +5 · 4 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
8. Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
   2020/12/07 by Kangqiao Liu, Liu Ziyin, Liu, Kangqiao +3 · 3 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
9. Power-law escape rate of SGD
   2021/05/20 by T. Mori, Liu Ziyin, Mori, Takashi +5 · 3 citations
   Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy #Theoretical and Computational Physics
10. Embedding the Yang-Lee Quantum Criticality in Open Quantum Systems
    2020/12/24 by Norifumi Matsumoto, Matsumoto, Norifumi, Masaya Nakagawa +3 · 2 citations
    Physics and Astronomy · #FOS: Physical sciences #Physics of Superconductivity and Magnetism #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Quantum, superfluid, helium dynamics #Statistical Mechanics (cond-mat.stat-mech)
11. Logical Reversibility and Physical Reversibility in Quantum Measurement
    1997/09/22 by Masahito Ueda, Ueda, Masahito · 1 citation
    Physics and Astronomy · #FOS: Physical sciences #Quantum Mechanics and Applications #Quantum Physics (quant-ph) #quant-ph
12. Universal Thermodynamic Uncertainty Relation in Non-Equilibrium Dynamics
    2022/02/27 by Liu Ziyin, Masahito Ueda, Ziyin, Liu +1 · 2 citations
    Economics, Econometrics and Finance · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Economic theories and models #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy
13. Lindbladian Many-Body Localization
    2022/06/07 by Ryusuke Hamazaki, Masaya Nakagawa, Hamazaki, Ryusuke +5 · 2 citations
    Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Quantum Physics (quant-ph) #Quantum many-body systems #Quantum, superfluid, helium dynamics #Statistical Mechanics (cond-mat.stat-mech)
14. Single-Shot Readout of Macroscopic Quantum Superposition State in a Superconducting Flux Qubit
    2004/07/12 by Hirotaka Tanaka, Tanaka, Hirotaka, Shiro Saito +9 · 1 citation
    Computer Science · Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #FOS: Physical sciences #Quantum Information and Cryptography #Quantum and electron transport phenomena #Superconductivity (cond-mat.supr-con) #cond-mat.supr-con
15. Quantum master equation for many-body systems: Derivation based on the Lieb-Robinson bound
    2024/04/22 by Koki Shiraishi, Shiraishi, Koki, Masaya Nakagawa +5 · 3 citations
    Computer Science · Physics and Astronomy · #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum many-body systems #Spectroscopy and Quantum Chemical Studies
16. Is deeper better? It depends on locality of relevant features
    2020/05/26 by T. Mori, Mori, Takashi, Masahito Ueda +1 · 1 citation
    Computer Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
17. Many-Body Bound States in the Continuum
    2023/07/11 by Shoki Sugimoto, Sugimoto, Shoki, Yuto Ashida +3 · 1 citation
    Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #FOS: Physical sciences #Quantum Gases (cond-mat.quant-gas) #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Quantum, superfluid, helium dynamics #Statistical Mechanics (cond-mat.stat-mech)
18. Learning Not to Learn in the Presence of Noisy Labels
    2020/02/16 by Liu Ziyin, Ziyin, Liu, Blair Chen +11 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Text and Document Classification Technologies
19. Bounds on eigenstate thermalization
    2023/03/17 by Shoki Sugimoto, Sugimoto, Shoki, Ryusuke Hamazaki +3 · 1 citation
    Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #FOS: Physical sciences #Quantum Physics (quant-ph) #Quantum many-body systems #Statistical Mechanics (cond-mat.stat-mech) #Theoretical and Computational Physics
20. Observation of the Einstein-de Haas Effect in a Bose-Einstein condensate
    2025/04/24 by Hiroki Matsui, Yuki Miyazawa, Matsui, Hiroki +10 · 1 citation
    Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #Quantum, superfluid, helium dynamics