Ramana Kumar
Artificial Intelligence · 2014–2022
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Reinforcement Learning — 11 citations into it
- Safety, Robustness & Interpretability — 10 citations into it
Whom Ramana Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom Everitt
- Xavier Leroy
- J. Urgen Schmidhuber
- Bill Hibbard
- Paul Christiano
- Richard S. Sutton
- Geoffrey E. Hinton
- Alex Graves
Who trusts Ramana Kumar overall
Papers from Ramana Kumar's perspective
Ordered by how strongly the researchers Ramana Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction
- 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
- Solving math word problems with process- and outcome-based feedback (2022) — 815 citations
- Modeling AGI Safety Frameworks with Causal Influence Diagrams (2019) — 24 citations
- CakeML: a verified implementation of ML (2014) — 428 citations