Vibhav Gogate

Probabilistic & Bayesian Methods · 2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Vibhav Gogate trusts overall

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

1. Adnan Darwiche
2. Judea Pearl
3. Reuven Y. Rubinstein
4. William W. Cohen
5. Tian Sang
6. Robert E. Schapire
7. Gregory F. Cooper
8. Tim Hesterberg
9. Jun S. Liu
10. Paul Beame

Papers from Vibhav Gogate's perspective

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

1. Probabilistic reasoning in intelligent systems - networks of plausible inference
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Importance sampling-based estimation over AND/OR search spaces for graphical models (2012) — 122 citations