Jonathan Shlomi
Nuclear and High Energy Physics · 2016–2020
A researcher in the Science corpus: 9 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Nuclear and High Energy Physics — 293 citations into it
- Artificial Intelligence — 79 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Graph Learning — 30 citations into it
- Model Architectures — 23 citations into it
- Statistical and Nonlinear Physics — 17 citations into it
- Radiology, Nuclear Medicine and Imaging — 12 citations into it
- Materials Chemistry — 10 citations into it
Whom Jonathan Shlomi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Fernando J. Pineda
- Alex Krizhevsky
- Wolfgang Waltenberger
- J. Urgen Schmidhuber
- Max Welling
- Oriol Vinyals
Who trusts Jonathan Shlomi overall
Papers from Jonathan Shlomi's perspective
Ordered by how strongly the researchers Jonathan Shlomi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Graph neural networks in particle physics (2020) — 352 citations
- Set2Graph: Learning Graphs From Sets (2020) — 37 citations
- ATLAS data quality operations and performance for 2015-2018 data-taking (2019) — 379 citations
- Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV (2019) — 226 citations
- Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in $\sqrt{s}=13$ TeV $pp$ collisions using the ATLAS detector (2019) — 323 citations
- Combined measurements of Higgs boson production and decay using up to $80$ fb$^{-1}$ of proton-proton collision data at $\sqrt{s}=$ 13 TeV collected with the ATLAS experiment (2019) — 200 citations
- Search for the standard model Higgs boson produced in association with top quarks and decaying into a bb¯ pair in pp collisions at √s=13 TeV with the ATLAS detector (2018) — 133 citations
- Measurements of Higgs boson properties in the diphoton decay channel with 36 fb$^{-1}$ of $pp$ collision data at $\sqrt{s} = 13$ TeV with the ATLAS detector (2018) — 270 citations
- Optimisation of the ATLAS $b$-tagging performance for the 2016 LHC Run (2016) — 325 citations