Yoram Bresler
Computational Mechanics · 2000–2019
A researcher in the Science corpus: 5 papers; trusts 114 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 63 citations into it; #958 of 10,001 by trust here, #1,711 by citations
- Computer Vision and Pattern Recognition — 43 citations into it; #11,650 of 21,575 by trust here, #15,162 by citations
- Signal Processing — 18 citations into it
- Radiology, Nuclear Medicine and Imaging — 15 citations into it; #200 of 3,265 by trust here, #1,169 by citations
- Biomedical Engineering — 11 citations into it; #561 of 10,734 by trust here, #4,187 by citations
- Generative Models — 11 citations into it; #1,445 of 1,956 by trust here, #1,796 by citations
- Media Technology — 11 citations into it; #2,384 of 3,621 by trust here, #2,954 by citations
- Artificial Intelligence — 7 citations into it
Whom Yoram Bresler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Elad
- David L. Donoho
- E.J. Candes
- Joel A. Tropp
- Stéphane Mallat
- Barbara Olshausen
- Rick Chartrand
- Michal Aharon
- Julien Mairal
- Ron Rubinstein
Who trusts Yoram Bresler overall
- Prateek Jain
- Yan Yang
- Raghunandan H. Keshavan
- Jo Schlemper
- Tran Minh Quan
- Ricardo Otazo
- E.J. Candes
- S. D. Babacan
- Thierry Bouwmans
- Moshe Mishali
Papers from Yoram Bresler's perspective
Ordered by how strongly the researchers Yoram Bresler 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
Their papers
- GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems (2019) — 61 citations
- ADMiRA: Atomic Decomposition for Minimum Rank Approximation (2009) — 308 citations
- MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning (2011) — 1,069 citations
- Learning Sparsifying Transforms (2013) — 354 citations
- Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals (2000) — 298 citations