E. Stoudenmire
Atomic and Molecular Physics, and Optics · 2010–2020
A researcher in the Science corpus: 8 papers; trusts 30 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 72 citations into it; #1,455 of 7,135 by trust here, #2,138 by citations
- Artificial Intelligence — 47 citations into it; #21,854 of 35,345 by trust here, #16,771 by citations
- Condensed Matter Physics — 38 citations into it
- Computational Mathematics — 14 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Geometry and Topology — 9 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
Whom E. Stoudenmire trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guifré Vidal
- Ulrich Schollwoeck
- Frank Verstraete
- Glen Evenbly
- S. White
- Anima Anandkumar
- J. I. Cirac
- Ivan V. Oseledets
- Philippe Corboz
- L. Vanderstraeten
Who trusts E. Stoudenmire overall
- M. Fishman
- S. White
- Ryan Larose
- Rose Yu
- Hong-Chen Jiang
- Marcello Benedetti
- Zhaoyu Han
- Edward Grant
- Vojtěch Havlíček
- D. Vodola
Papers from E. Stoudenmire's perspective
Ordered by how strongly the researchers E. Stoudenmire trusts endorse each paper. Same corpus, a different order for every researcher.
- Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Tensor-Train Decomposition
- ImageNet: A large-scale hierarchical image database
- Variational optimization algorithms for uniform matrix product states
- AND T
- Entanglement Renormalization and Holography
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Towards quantum machine learning with tensor networks (2018) — 410 citations
- What Limits the Simulation of Quantum Computers? (2020) — 296 citations
- The ITensor Software Library for Tensor Network Calculations (2020) — 1,255 citations
- Towards the solution of the many-electron problem in real materials: equation of state of the hydrogen chain with state-of-the-art many-body methods (2017) — 219 citations
- Supervised Learning with Tensor Networks (2016) — 490 citations
- Studying Two Dimensional Systems With the Density Matrix Renormalization Group (2011) — 418 citations
- Interaction effects in topological superconducting wires supporting Majorana fermions (2011) — 158 citations
- Minimally entangled typical thermal state algorithms (2010) — 309 citations