Anand Avati

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Optimization & Training — 9 citations into it

Whom Anand Avati trusts overall

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

1. Diederik P. Kingma
2. Radford M. Neal
3. Alex Graves
4. Yarin Gal
5. Shun-ichi Amari
6. Geoffrey E. Hinton
7. James Martens
8. Jimmy Ba
9. Haibo He
10. Yoshua Bengio

Who trusts Anand Avati overall

1. Bernhard Schäfl
2. Ursula Schmidt-Erfurth

Papers from Anand Avati's perspective

Ordered by how strongly the researchers Anand Avati 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
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. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• NGBoost: Natural Gradient Boosting for Probabilistic Prediction (2019) — 474 citations
• Improving palliative care with deep learning (2017) — 410 citations