Jyotishman Pathak
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 10 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it; #30,614 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Cognitive Neuroscience — 13 citations into it
- Natural Language Processing — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 9 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Jyotishman Pathak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ruslan Salakhutdinov
- David E. Rumelhart
- Nitish Srivastava
- Pascal Vincent
- Yann LeCun
- Alex Krizhevsky
- Mary Kathryn Cowles
- Ilya Sutskever
Who trusts Jyotishman Pathak overall
Papers from Jyotishman Pathak's perspective
Ordered by how strongly the researchers Jyotishman Pathak 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium (2011) — 351 citations
- Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data (2013) — 986 citations
- "Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention (2018) — 112 citations
- Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention (2019) — 223 citations
- Importance of multi-modal approaches to effectively identify cataract cases from electronic health records (2012) — 124 citations
- PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability (2016) — 347 citations
- Deep learning in mental health outcome research: a scoping review (2020) — 306 citations
- Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods (2016) — 96 citations
- Using EHRs and Machine Learning for Heart Failure Survival Analysis (2015) — 134 citations
- Genome- and Phenome-Wide Analysis of Cardiac Conduction Identifies Markers of Arrhythmia Risk (2013) — 177 citations