Jason D. McEwen
Statistics and Probability · 2013–2020
A researcher in the Science corpus: 15 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 9 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Jason D. McEwen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Stéphane Mallat
- Mark A. Kramer
- N. Kingsbury
- Yoav Freund
- Yann LeCun
- Alex Smola
- Sinno Jialin Pan
- James A. Hanley
- Trevor J. Hastie
Who trusts Jason D. McEwen overall
Papers from Jason D. McEwen's perspective
Ordered by how strongly the researchers Jason D. McEwen 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)
- Gradient-based learning applied to document 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
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Planck intermediate results. LVII. Joint Planck LFI and HFI data processing (2020) — 196 citations
- Planck 2018 results. IX. Constraints on primordial non-Gaussianity (2019) — 501 citations
- Planck 2018 results (2019) — 819 citations
- Planck2018 results (2018) — 2,051 citations
- Planck 2018 results (2018) — 204 citations
- Planck2018 results (2018) — 138 citations
- Planck2018 results (2018) — 606 citations
- Planck2018 results (2018) — 1,237 citations
- Planck2018 results (2018) — 4,383 citations
- Planck 2018 results (2018) — 5,065 citations
- Planck intermediate results. XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth (2016) — 400 citations
- PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING (2016) — 168 citations
- Planck intermediate results: LI. features in the cosmic microwave background temperature power spectrum and shifts in cosmological parameters (2016) — 169 citations
- Planck 2015 results. I. Overview of products and scientific results (2015) — 2,116 citations
- Planck2018 results (2013) — 272 citations