Prakhar Srivastava

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 207 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Generative Models — 36 citations into it
• Artificial Intelligence — 22 citations into it
• Signal Processing — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Prakhar Srivastava trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Yang Song
7. Yann LeCun
8. Jonathan Ho
9. Ilya Sutskever
10. Chelsea Finn

Who trusts Prakhar Srivastava overall

1. Daquan Zhou
2. Boyuan Chen
3. Andreas Blattmann

Papers from Prakhar Srivastava's perspective

Ordered by how strongly the researchers Prakhar Srivastava 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Diffusion Probabilistic Modeling for Video Generation (2022) — 331 citations