V. Roshan Joseph
Statistics and Probability · 2004–2022
A researcher in the Science corpus: 6 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 28 citations into it; #11,062 of 12,932 by trust here, #11,487 by citations
- Artificial Intelligence — 15 citations into it
- Management Science and Operations Research — 12 citations into it; #7,201 of 11,946 by trust here, #9,383 by citations
- Computational Theory and Mathematics — 10 citations into it; #10,145 of 12,182 by trust here, #10,349 by citations
- Computational Mechanics — 8 citations into it
- Environmental Engineering — 7 citations into it
- Numerical Analysis — 6 citations into it
- Finance — 5 citations into it; #8,834 of 10,518 by trust here, #10,047 by citations
Whom V. Roshan Joseph trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G'abor J. Sz'ekely
- David Ruppert
- Colin L. Mallows
- John E. Moody
- J. Sacks
- Hirotogu Akaike
- Andy Liaw
- Simon Mak
- Jerome H. Friedman
- Maria L. Rizzo
Who trusts V. Roshan Joseph overall
- Luc Pronzato
- Haitao Liu
- Lin Wang
- Mohammad Hadigol
- Hans Janssen
- Hovav A. Dror
- Yew-Soon Ong
- Qian Xiao
- Hongquan Xu
- Jianfei Cai
Papers from V. Roshan Joseph's perspective
Ordered by how strongly the researchers V. Roshan Joseph 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Maximum projection designs for computer experiments (2015) — 347 citations
- Optimal ratio for data splitting (2022) — 682 citations
- Support points (2016) — 176 citations
- Composite Gaussian process models for emulating expensive functions (2012) — 139 citations
- ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS (2008) — 325 citations
- Efficient Robbins-Monro procedure for binary data (2004) — 65 citations