Ewout van den Berg
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 8 papers; trusts 47 researchers and is trusted by 79 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it
- Computational Mechanics — 49 citations into it; #404 of 10,001 by trust here, #1,368 by citations
- Statistics and Probability — 44 citations into it; #4,763 of 12,932 by trust here, #4,014 by citations
- Atomic and Molecular Physics, and Optics — 35 citations into it; #129 of 7,135 by trust here, #1,971 by citations
- Optimization & Training — 20 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Computational Theory and Mathematics — 14 citations into it; #6,848 of 12,182 by trust here, #5,239 by citations
- Electrical and Electronic Engineering — 12 citations into it
Whom Ewout van den Berg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- David L. Donoho
- Yuhong Dai
- Robert Tibshirani
- Gilles Hennenfent
- Ingrid Daubechies
- Suguru Endo
- Kristan Temme
- Terence Tao
- Jay M. Gambetta
Who trusts Ewout van den Berg overall
- Mark W. Schmidt
- Laurent Condat
- Zhilin Zhang
- Stephen Becker
- E.J. Candes
- Richard Baraniuk
- Marco F. Duarte
- Tom Goldstein
- Arian Maleki
- Zai Yang
Papers from Ewout van den Berg's perspective
Ordered by how strongly the researchers Ewout van den Berg trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- SLOPE—ADAPTIVE VARIABLE SELECTION VIA CONVEX OPTIMIZATION (2014) — 318 citations
- 1-Bit Matrix Completion (2012) — 375 citations
- Probabilistic error cancellation with sparse Pauli–Lindblad models on noisy quantum processors (2022) — 431 citations
- Model-free readout-error mitigation for quantum expectation values (2020) — 212 citations
- Evidence for the utility of quantum computing before fault tolerance (2023) — 1,339 citations
- Estimating Information Flow in Neural Networks (2018) — 32 citations
- Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm (2009) — 283 citations
- Probing the Pareto Frontier for Basis Pursuit Solutions (2008) — 2,086 citations