Sriram Vishwanath

Computer Networks and Communications · 2001–2019

A researcher in the Science corpus: 11 papers; trusts 109 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 62 citations into it; #1,473 of 9,886 by trust here, #1,395 by citations
• Electrical and Electronic Engineering — 53 citations into it; #370 of 16,539 by trust here, #2,528 by citations
• Artificial Intelligence — 42 citations into it; #23,304 of 35,345 by trust here, #14,718 by citations
• Generative Models — 35 citations into it; #1,370 of 1,956 by trust here, #1,252 by citations
• Computer Vision and Pattern Recognition — 34 citations into it; #14,401 of 21,575 by trust here, #11,083 by citations
• Causal Inference & Discovery — 12 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Sriram Vishwanath trusts overall

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

1. Giuseppe Caire
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Nihar Jindal
5. Danilo Jimenez Rezende
6. Yoshua Bengio
7. Shlomo Shamai
8. Alex Krizhevsky
9. Yann LeCun
10. Shakir Mohamed

Who trusts Sriram Vishwanath overall

1. Wei Yu
2. T. Marzetta
3. Rui Zhang
4. Mehdi Mohseni
5. Andrea J. Goldsmith
6. D. P. Palomar
7. Robert W. Heath
8. Hanan Weingarten
9. Erik G. Larsson
10. Syed Ali Jafar

Papers from Sriram Vishwanath's perspective

Ordered by how strongly the researchers Sriram Vishwanath trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training (2017) — 314 citations
• Learning Causal Graphs with Small Interventions (2015) — 124 citations
• Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels (2003) — 1,696 citations
• Capacity limits of MIMO channels (2003) — 2,522 citations
• Pilot Contamination and Precoding in Multi-Cell TDD Systems (2009) — 1,312 citations
• On the duality of Gaussian multiple-access and broadcast channels (2002) — 445 citations
• Channel capacity and beamforming for multiple transmit and receive antennas with covariance feedback (2001) — 296 citations
• Learning Representations by Maximizing Mutual Information in Variational Autoencoder (2019) — 5 citations
• Learning Representations by Maximizing Mutual Information in Variational Autoencoders (2019) — 42 citations
• Centralized Repair of Multiple Node Failures With Applications to Communication Efficient Secret Sharing (2016) — 66 citations
• Locality and Availability in Distributed Storage (2014) — 269 citations