Alex Mott
Nuclear and High Energy Physics · 2004–2020
A researcher in the Science corpus: 64 papers; trusts 322 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Nuclear and High Energy Physics — 1,244 citations into it
- Artificial Intelligence — 285 citations into it; #6,880 of 35,345 by trust here, #7,062 by citations
- Computer Vision and Pattern Recognition — 134 citations into it; #5,258 of 21,575 by trust here, #5,082 by citations
- Meta & Continual Learning — 56 citations into it; #148 of 1,041 by trust here, #178 by citations
- Representation & Self-Supervised Learning — 34 citations into it
- Optimization & Training — 32 citations into it; #694 of 2,601 by trust here, #755 by citations
- Model Architectures — 30 citations into it
- Reinforcement Learning — 26 citations into it
Whom Alex Mott trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
- Marc'Aurelio Ranzato
- Karen Simonyan
- Alex Graves
Who trusts Alex Mott overall
- Seyed Iman Mirzadeh
- Mehrdad Farajtabar
- Anand Gopalakrishnan
- Akanksha Atrey
- Mohammed Hassanin
- Gobinda Saha
- Thang Van Doan
- Sjoerd van Steenkiste
- Daniel Zoran
- Kibeom Kim
Papers from Alex Mott's perspective
Ordered by how strongly the researchers Alex Mott 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Orthogonal Gradient Descent for Continual Learning (2019) — 536 citations
- Towards Robust Image Classification Using Sequential Attention Models (2019) — 72 citations
- Towards Interpretable Reinforcement Learning Using Attention Augmented Agents (2019) — 213 citations
- The Effectiveness of Memory Replay in Large Scale Continual Learning (2020) — 41 citations
- Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint. (2020) — 44 citations
- Particle-flow reconstruction and global event description with the CMS detector (2017) — 305 citations
- Search for high-mass diphoton resonances in proton-proton collisions at 13 TeV and combination with 8 TeV search (2017) — 140 citations
- Search for Dijet Resonances in Proton–proton Collisions at √s = 13 TeV and Constraints on Dark Matter and Other Models (2017) — 168 citations
- Erratum 2: Search for dark matter and unparticles in events with a Z boson and missing transverse momentum in proton-proton collisions at s=13$$ \sqrt{s}=13 $$ TeV (2017) — 143 citations
- Charged-particle nuclear modification factors in PbPb and pPb collisions at √(s_N N) = 5.02 TeV (2017) — 146 citations
- Charged-particle nuclear modification factors in PbPb and pPb collisions at sNN=5.02$$ \sqrt{s_{\mathrm{N}\;\mathrm{N}}}=5.02 $$ TeV (2016) — 225 citations
- Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV (2016) — 918 citations
- Evidence for collectivity in pp collisions at the LHC (2016) — 444 citations
- Evidence for exclusive γγ → W+W− production and constraints on anomalous quartic gauge couplings in pp collisions at s=7$$ \sqrt{s}=7 $$ and 8 TeV (2016) — 200 citations
- Search for a Higgs boson in the mass range from 145 to 1000 GeV decaying to a pair of W or Z bosons (2015) — 212 citations
- Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √s = 8 TeV (2015) — 358 citations
- Search for resonant tt production in proton-proton collisions at √s = 8 TeV (2015) — 150 citations
- Search for dark matter, extra dimensions, and unparticles in monojet events in proton–proton collisions at $$\sqrt{s} = 8$$s=8$$\,{\mathrm{TeV}}\,$$TeV (2015) — 217 citations
- Constraints on the spin-parity and anomalous HVV couplings of the Higgs boson in proton collisions at 7 and 8 TeV (2015) — 438 citations
- Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at √s=8 TeV (2015) — 365 citations