John J. Cherian

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Statistics and Probability — 10 citations into it

Whom John J. Cherian trusts overall

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

1. Shahar Mendelson
2. Vladimir G Vovk
3. Yaniv Romano
4. E.J. Candes
5. Robert Tibshirani
6. Chuan Guo
7. Rina Foygel Barber

Papers from John J. Cherian's perspective

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

1. Algorithmic Learning in a Random World
2. Conformalized Quantile Regression (Neural Information Processing Systems)
3. On Calibration of Modern Neural Networks
4. Learning without Concentration
5. WILDS: A Benchmark of in-the-Wild Distribution Shifts
6. Conformal Prediction Under Covariate Shift (Neural Information Processing Systems)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Regression Shrinkage and Selection via the Lasso
10. ImageNet classification with deep convolutional neural networks

Their papers

• Conformal prediction with conditional guarantees (2023) — 166 citations