Aritra Guha

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Statistics and Probability — 17 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Natural Language Processing — 5 citations into it

Whom Aritra Guha trusts overall

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

1. Matthew Stephens
2. Cédric Villani
3. Jeffrey W. Miller
4. Michael I. Jordan
5. David M. Blei
6. Yee Whye Teh
7. Judith Rousseau
8. Nhat Ho
9. Abel Rodríguez
10. B. Kleijn

Who trusts Aritra Guha overall

1. Mengdi Xu
2. Mikhail Yurochkin
3. Wenhao Ding

Papers from Aritra Guha's perspective

Ordered by how strongly the researchers Aritra Guha 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• On posterior contraction of parameters and interpretability in Bayesian mixture modeling (2019) — 67 citations
• Streaming dynamic and distributed inference of latent geometric structures (2018) — 3 citations
• Scalable inference of topic evolution via models for latent geometric structures (2018) — 12 citations