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Author

Rajesh Ranganath

Observed names: R. Ranganath, Rajesh Ranganath A, Ranganath, Rajesh
Observed institutions: Linköping University, Princeton University, Courant Institute of Mathematical Sciences, NYU Langone Health, Apple (United States), New York University, Massachusetts Institute of Technology, Columbia University, Stanford University
ORCID: 0000-0003-2854-3376
Observed ORCID: 0000-0003-2854-3376
OpenAlex ID: A5022202456
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
2009 · Honglak Lee, Roger Grosse, et al. · International Conference on Machine Learning · 2,432
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
2019 · Huang, Kexin, Altosaar, Jaan, et al. · arXiv (Cornell University) · 1,366
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Black Box Variational Inference
2013 · Ranganath, Rajesh, Gerrish, Sean, et al. · arXiv (Cornell University) · 735
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Automatic Differentiation Variational Inference
2016 · Kucukelbir, Alp, Tran, Dustin, et al. · arXiv (Cornell University) · 578
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Unsupervised learning of hierarchical representations with convolutional deep belief networks
2011 · Honglak Lee, Roger Grosse, et al. · Communications of the ACM · 396
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A Review of Challenges and Opportunities in Machine Learning for Health
2018 · Ghassemi, Marzyeh, Naumann, Tristan, et al. · PubMed Central · 363
Reproducibility in machine learning for health research: Still a ways to go
2021 · Matthew B. A. McDermott, Shirly Wang, et al. · Science Translational Medicine · 349
The role of machine learning in clinical research: transforming the future of evidence generation
2021 · E. Hope Weissler, Tristan Naumann, et al. · Trials · 309
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Practical guidance on artificial intelligence for health-care data
2019 · Marzyeh Ghassemi, Tristan Naumann, et al. · The Lancet Digital Health · 169
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Hierarchical Implicit Models and Likelihood-Free Variational Inference
2017 · Tran, Dustin, Ranganath, Rajesh, et al. · arXiv (Cornell University) · 163
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A General Framework for Inference-time Scaling and Steering of Diffusion Models
2025 · Singhal, Raghav, Horvitz, Zachary, et al. · arXiv (Cornell University) · 155
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Deep Survival Analysis
2016 · Ranganath, Rajesh, Perotte, Adler, et al. · arXiv (Cornell University) · 154
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Deep learning models for electrocardiograms are susceptible to adversarial attack
2020 · Xintian Han, Yuxuan Hu, et al. · Nature Medicine · 146
Automatic Variational Inference in Stan
2015 · Kucukelbir, Alp, Ranganath, Rajesh, et al. · arXiv (Cornell University) · 136
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Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis
2015 · Adler Perotte, Rajesh Ranganath, et al. · Journal of the American Medical Informatics Association · 129
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The Variational Gaussian Process
2015 · Tran, Dustin, Ranganath, Rajesh, et al. · arXiv (Cornell University) · 122
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Deep Exponential Families
2014 · Ranganath, Rajesh, Tang, Linpeng, et al. · arXiv (Cornell University) · 108
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On the Challenges and Opportunities in Generative AI
2024 · Manduchi, Laura, Meister, Clara, et al. · arXiv (Cornell University) · 102
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Variational Sequential Monte Carlo
2018 · Christian A. Naesseth, Scott W. Linderman, et al. · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 99
Dynamic Poisson Factorization
2015 · Laurent Charlin, Rajesh Ranganath, et al. · ACM Conference on Recommender Systems (RecSys) · 97
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Hierarchical Variational Models
2015 · Ranganath, Rajesh, Tran, Dustin, et al. · arXiv (Cornell University) · 94
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FastSHAP: Real-Time Shapley Value Estimation
2021 · Jethani, Neil, Sudarshan, Mukund, et al. · PubMed · 83
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Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates
2012 · Rajesh Ranganath, Dan Jurafsky, et al. · Computer Speech & Language · 80
Support and Invertibility in Domain-Invariant Representations
2019 · Johansson, Fredrik D., Sontag, David, et al. · arXiv (Cornell University) · 77
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Extracting social meaning
2009 · Dan Jurafsky, Rajesh Ranganath, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 77
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Works count: 178
Citation count: 10,280
H-index: 38
I10-index: 74
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