Ritabrata Dutta

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #13,497 of 35,345 by trust here, #15,866 by citations
• Statistics and Probability — 44 citations into it; #4,882 of 12,932 by trust here, #3,703 by citations
• Probabilistic & Bayesian Methods — 23 citations into it; #810 of 1,525 by trust here, #770 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Ritabrata Dutta trusts overall

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

1. Michael U Gutmann
2. MARK A. Beaumont
3. Eric R. Ziegel
4. Robert Tibshirani
5. George Papamakarios
6. Jean-Michel Marin
7. Geoffrey E. Hinton
8. Simon N. Wood
9. Aapo Hyvärinen
10. D. Wilks

Who trusts Ritabrata Dutta overall

1. Gilles Louppe
2. Aapo Hyvärinen
3. Joeri Hermans
4. J. Brehmer
5. Kyle Cranmer
6. Volodimir Begy
7. David S. Greenberg
8. Ke Li
9. Michael U Gutmann
10. Owen Thomas

Papers from Ritabrata Dutta's perspective

Ordered by how strongly the researchers Ritabrata Dutta 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Regression Shrinkage and Selection via the Lasso
10. ImageNet: A large-scale hierarchical image database

Their papers

• Likelihood-free inference via classification (2014) — 136 citations
• Likelihood-Free Inference by Ratio Estimation (2016) — 180 citations