Santu Rana
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 70 citations into it
- Computational Theory and Mathematics — 35 citations into it
- Management Science and Operations Research — 31 citations into it
- Optimization & Training — 20 citations into it
Whom Santu Rana trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Hutter
- Donald R. Jones
- Jasper Snoek
- Joshua D. Knowles
- Eric Brochu
- Kevin Swersky
- Holger H. Hoos
- Geoffrey E. Hinton
- G. G. Wang
- Yoshua Bengio
Who trusts Santu Rana overall
Papers from Santu Rana's perspective
Ordered by how strongly the researchers Santu Rana 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Practical Bayesian Optimization of Machine Learning Algorithms
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Stable Bayesian optimization (2018) — 33 citations
- Bayesian Optimization for Categorical and Category-Specific Continuous Inputs (2019) — 60 citations
- Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View (2016) — 874 citations
- Bayesian Optimization for Adaptive Experimental Design: A Review (2020) — 398 citations