Daniel Whiteson
Nuclear and High Energy Physics · 2006–2022
A researcher in the Science corpus: 41 papers; trusts 40 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Nuclear and High Energy Physics — 871 citations into it; #1,045 of 6,161 by trust here, #1,172 by citations
- Artificial Intelligence — 102 citations into it; #7,286 of 35,345 by trust here, #7,797 by citations
- Astronomy and Astrophysics — 76 citations into it
- AI for Physical Sciences — 60 citations into it; #44 of 247 by trust here, #56 by citations
- Computer Networks and Communications — 54 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it; #18,004 of 21,575 by trust here, #14,478 by citations
- Model Architectures — 17 citations into it
- Optimization & Training — 13 citations into it
Whom Daniel Whiteson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- Alex Krizhevsky
- Jimmy Ba
- Diederik P. Kingma
- Pierre Baldi
- Hugo Larochelle
- Yann LeCun
- Ilya Sutskever
Who trusts Daniel Whiteson overall
Papers from Daniel Whiteson's perspective
Ordered by how strongly the researchers Daniel Whiteson trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Et al
Their papers
- Searching for exotic particles in high-energy physics with deep learning (2014) — 1,320 citations
- High-precision measurement of the W boson mass with the CDF II detector. (2022) — 642 citations
- Performance of the ATLAS muon triggers in Run 2 (2020) — 358 citations
- Jet energy scale and resolution measured in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector (2020) — 319 citations
- Muon reconstruction and identification efficiency in ATLAS using the full Run 2 $pp$ collision data set at $\sqrt{s}=13$ TeV (2020) — 199 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
- Deep Learning and Its Application to LHC Physics (2018) — 438 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
- Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2 (2017) — 222 citations
- Evidence for light-by-light scattering in heavy-ion collisions with the ATLAS detector at the LHC (2017) — 171 citations
- Jet reconstruction and performance using particle flow with the ATLAS Detector (2017) — 408 citations
- Identification and energy calibration of hadronically decaying tau leptons with the ATLAS experiment (2016) — 152 citations
- Performance of $b$-Jet Identification in the ATLAS Experiment (2016) — 182 citations
- Jet Substructure Classification in High-Energy Physics with Deep Neural Networks (2016) — 204 citations
- Measurement of W ± and Z -boson production cross sections in pp collisions at s=13 TeV with the ATLAS detector (2016) — 186 citations
- Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 (2016) — 412 citations