Ariel Schwartzman
Nuclear and High Energy Physics · 2011–2022
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Nuclear and High Energy Physics — 44 citations into it; #3,925 of 6,161 by trust here, #3,136 by citations
- Artificial Intelligence — 6 citations into it; #23,651 of 35,345 by trust here, #20,836 by citations
- Computer Vision and Pattern Recognition — 6 citations into it; #14,618 of 21,575 by trust here, #13,815 by citations
Whom Ariel Schwartzman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ariel Schwartzman overall
Papers from Ariel Schwartzman's perspective
Ordered by how strongly the researchers Ariel Schwartzman trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Improving neural networks by preventing co-adaptation of feature detectors
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- Maxout Networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- Jet-images — deep learning edition (2015) — 344 citations
- The International Linear Collider: Report to Snowmass 2021 (2022) — 136 citations
- Simplified Models for LHC New Physics Searches (2011) — 652 citations