Masahito Ueda
Atomic and Molecular Physics, and Optics · 2001–2020
A researcher in the Science corpus: 15 papers; trusts 130 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 753 citations into it; #609 of 7,135 by trust here, #669 by citations
- Statistical and Nonlinear Physics — 249 citations into it; #3,569 of 10,127 by trust here, #719 by citations
- Artificial Intelligence — 136 citations into it
- Condensed Matter Physics — 126 citations into it; #1,339 of 1,948 by trust here, #1,409 by citations
- Materials Chemistry — 114 citations into it
- Electrical and Electronic Engineering — 43 citations into it
- Mathematical Physics — 16 citations into it
- Physical and Theoretical Chemistry — 15 citations into it
Whom Masahito Ueda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- C. L. Kane
- Marcos Rigol
- Liang Fu
- Thierry Giamarchi
- Jan Wiersig
- Michael V. Berry
- Alexei Y. Kitaev
- A. Schnyder
- Shunyu Yao
- D. Stamper-Kurn
Who trusts Masahito Ueda overall
- Y. Kawaguchi
- K. Kawabata
- Flore K. Kunst
- Xiujuan Zhang
- Sergio Ciliberto
- M. Eto
- Sergey V. Krivovichev
- Luca Pezzè
- A. del Campo
- Lucas S'a
Papers from Masahito Ueda's perspective
Ordered by how strongly the researchers Masahito Ueda trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- I and J
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Neural Networks Fail to Learn Periodic Functions and How to Fix It (2020) — 233 citations
- Non-Hermitian physics (2020) — 1,912 citations
- Quantum equilibration, thermalization and prethermalization in ultracold atoms (2020) — 155 citations
- Symmetry and Topology in Non-Hermitian Physics (2018) — 1,199 citations
- Topological Phases of Non-Hermitian Systems (2018) — 1,282 citations
- Anomalous helical edge states in a non-Hermitian Chern insulator (2018) — 138 citations
- Thermalization and prethermalization in isolated quantum systems: a theoretical overview (2017) — 490 citations
- Spinor Bose gases: Symmetries, magnetism, and quantum dynamics (2013) — 575 citations
- Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality (2010) — 851 citations
- Fundamentals and new frontiers of bose-einstein condensation (2010) — 149 citations
- Spinor Bose-Einstein condensates (2010) — 548 citations
- Ultracold gases of ytterbium: ferromagnetism and Mott states in an SU(6) Fermi system (2009) — 217 citations
- Fragmentation of Bose-Einstein Condensates (2006) — 200 citations
- VORTICES IN MULTICOMPONENT BOSE–EINSTEIN CONDENSATES (2005) — 174 citations
- Vortex lattice formation in a rotating Bose-Einstein condensate (2001) — 215 citations