Suman V. Ravuri
Artificial Intelligence · 2011–2023
A researcher in the Science corpus: 9 papers; trusts 266 researchers and is trusted by 108 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it; #10,063 of 35,345 by trust here, #9,369 by citations
- Computer Vision and Pattern Recognition — 74 citations into it; #3,260 of 21,575 by trust here, #8,409 by citations
- Generative Models — 57 citations into it; #455 of 1,956 by trust here, #1,110 by citations
- Model Architectures — 23 citations into it; #1,392 of 2,278 by trust here, #1,693 by citations
- Evaluation & Benchmarks — 21 citations into it; #732 of 3,147 by trust here, #1,856 by citations
- Signal Processing — 20 citations into it; #2,119 of 7,572 by trust here, #2,664 by citations
- Optimization & Training — 18 citations into it
- Natural Language Processing — 11 citations into it
Whom Suman V. Ravuri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Oriol Vinyals
- Abdel-rahman Mohamed
- Alex Graves
Who trusts Suman V. Ravuri overall
- Tianfu Wu
- Gaurav Parmar
- Ekin Dogus Cubuk
- Tobias Hinz
- Oriol Vinyals
- Richard Zhang
- Li Deng
- Barret Zoph
- Ali Borji
- Quoc V. Le
Papers from Suman V. Ravuri's perspective
Ordered by how strongly the researchers Suman V. Ravuri 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Classification Accuracy Score for Conditional Generative Models (2019) — 272 citations
- Revisiting Recurrent Neural Networks for robust ASR (2012) — 169 citations
- Learning Implicit Generative Models with the Method of Learned Moments (2018) — 30 citations
- Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR (2011) — 64 citations
- Learning skillful medium-range global weather forecasting (2023) — 1,707 citations
- GraphCast: Learning skillful medium-range global weather forecasting (2022) — 419 citations
- Skilful precipitation nowcasting using deep generative models of radar (2021) — 1,048 citations
- Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study (2019) — 3 citations
- A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury (2019) — 949 citations