Siddharth Mishra-Sharma

Astronomy and Astrophysics · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Astronomy and Astrophysics — 57 citations into it
• Nuclear and High Energy Physics — 40 citations into it
• Artificial Intelligence — 26 citations into it
• Instrumentation — 21 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it
• Atomic and Molecular Physics, and Optics — 13 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Generative Models — 11 citations into it

Whom Siddharth Mishra-Sharma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kyle Cranmer
2. J. Brehmer
3. Laurent Dinh
4. Donald B. Rubin
5. T. Treu
6. T. Collett
7. Ning Qian
8. Gilles Louppe
9. Volker Springel
10. Juan Pavez

Papers from Siddharth Mishra-Sharma's perspective

Ordered by how strongly the researchers Siddharth Mishra-Sharma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Pixel Recurrent Neural Networks
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Density estimation using Real NVP
9. WaveNet: A Generative Model for Raw Audio
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Mining for Dark Matter Substructure: Inferring Subhalo Population Properties from Strong Lenses with Machine Learning (2019) — 80 citations
• Modulation Effects in Dark Matter-Electron Scattering Experiments (2015) — 133 citations