Rohith Kuditipudi
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #31,466 of 35,345 by trust here, #2,700 by citations
- Statistical Learning Theory — 14 citations into it; #947 of 1,038 by trust here, #893 by citations
- Statistics and Probability — 7 citations into it
- Computational Mechanics — 5 citations into it
Whom Rohith Kuditipudi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Surbhi Goel
- Sanjeev Arora
- Rong Ge
- Geoffrey E. Hinton
- Adam R. Klivans
- Tengyu Ma
- Yoshua Bengio
- Mark Rudelson
- Alex Krizhevsky
- Karen Simonyan
Who trusts Rohith Kuditipudi overall
Papers from Rohith Kuditipudi's perspective
Ordered by how strongly the researchers Rohith Kuditipudi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- Robust Distortion-free Watermarks for Language Models (2023) — 346 citations
- Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets (2019) — 106 citations
- Learning Two-layer Neural Networks with Symmetric Inputs (2018) — 62 citations