Auroop Ratan Ganguly
Global and Planetary Change · 2007–2022
A researcher in the Science corpus: 10 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 76 citations into it; #7,921 of 10,225 by trust here, #5,517 by citations
- Statistics and Probability — 35 citations into it
- Artificial Intelligence — 30 citations into it; #34,149 of 35,345 by trust here, #11,750 by citations
- Computer Vision and Pattern Recognition — 18 citations into it
- Economics and Econometrics — 18 citations into it
- Ecology, Evolution, Behavior and Systematics — 13 citations into it
- Control and Systems Engineering — 8 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Auroop Ratan Ganguly trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoav Benjamini
- Pranab Kumar Sen
- Andrew J. Majda
- S. Min
- Soumyadeep Chatterjee
- Y. Hochberg
- Samory Kpotufe
- Sandrine Dudoit
- Ariel Kleiner
- Malgorzata Bogdan
Who trusts Auroop Ratan Ganguly overall
Papers from Auroop Ratan Ganguly's perspective
Ordered by how strongly the researchers Auroop Ratan Ganguly 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)
- The Elements of Statistical Learning
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Model selection and estimation in regression with grouped variables
- Gradient-based learning applied to document recognition
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Recurrent neural network based language model
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016) — 1,347 citations
- Sparse Group Lasso: Consistency and Climate Applications (2012) — 86 citations
- Climate-mediated shifts in temperature fluctuations promote extinction risk (2022) — 83 citations
- DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution (2017) — 373 citations
- Changes in observed climate extremes in global urban areas (2015) — 304 citations
- Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques (2014)
- Theory-Guided Data Science for Climate Change (2014) — 33 citations
- A graph‐based approach to find teleconnections in climate data (2013) — 43 citations
- Exploring Granger causality between global average observed time series of carbon dioxide and temperature (2011) — 78 citations
- Geospatial temporal dependence among weekly precipitation extremes with applications to observations and climate model simulations in South America (2007) — 69 citations