Shashank Singh

Cited by

	All	Since 2018
Citations	762	691
h-index	12	12
i10-index	14	14

220

110

165

20142015201620172018201920202021202220236 8 17 37 64 110 92 173 216 36

Public access

View all

12 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jian MaRay and Stephanie Lane Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ananya UppalPostdoctoral Fellow, University of Texas at AustinVerified email at utexas.edu
Chun-Liang LiResearch Scientist, GoogleVerified email at google.com
Yang YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Anna FisherAssociate Professor, Department of Psychology, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Erik ThiessenDepartment of Psychology, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Ziv Bar-JosephProfessor of Computational Biology and Machine Learning, School of Computer Science, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Rajarishi SinhaGoogle Cloud AIVerified email at google.com
Arkady EpshteynGoogleVerified email at google.com
Ruochi ZhangBroad InstituteVerified email at broadinstitute.org
Saket NavlakhaAssociate Professor, Cold Spring Harbor LaboratoryVerified email at cshl.edu
Sabrina RashidCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Jinsung YoonResearch Scientist at Google Cloud AIVerified email at google.com
Sercan O. ArikGoogleVerified email at google.com
Tomas PfisterHead of AI Research @ Google CloudVerified email at google.com
Long T. LeSenior Software Engineer, Machine Learning, GoogleVerified email at google.com
Vikas MenonGoogleVerified email at google.com
Leyou ZhangGoogleVerified email at google.com
Eliezer KanalGoogle, LLCVerified email at google.com

Shashank Singh

Max Planck Institute for Intelligent Systems

Verified email at tuebingen.mpg.de - Homepage

Statistics Machine Learning Information Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Predicting enhancer-promoter interaction from genomic sequence with deep neural networks S Singh, Y Yang, B Póczos, J Ma Quantitative Biology 7, 122-137, 2019	116*	2019
Finite-sample analysis of fixed-k nearest neighbor density functional estimators S Singh, B Póczos Advances in Neural Information Processing Systems, 1217-1225, 2016	86*	2016
Exploiting sequence-based features for predicting enhancer–promoter interactions Y Yang, R Zhang, S Singh, J Ma Bioinformatics 33 (14), i252-i260, 2017	76	2017
Interpretable sequence learning for COVID-19 forecasting SO Arik, CL Li, J Yoon, R Sinha, A Epshteyn, LT Le, V Menon, S Singh, ... Advances in Neural Information Processing Systems, 2020	74	2020
Nonparametric density estimation under adversarial losses S Singh, A Uppal, B Li, CL Li, M Zaheer, B Póczos Advances in Neural Information Processing Systems 31, 2018	62	2018
Generalized exponential concentration inequality for Rényi divergence estimation S Singh, B Póczos International Conference on Machine Learning, 333-341, 2014	58	2014
Minimax distribution estimation in Wasserstein distance S Singh, B Póczos arXiv preprint arXiv:1802.08855, 2018	55	2018
Nonparametric density estimation & convergence rates for GANs under Besov IPM losses A Uppal, S Singh, B Póczos Advances in Neural Information Processing Systems, 9089-9100, 2019	51	2019
Exponential Concentration of a Density Functional Estimator S Singh, B Poczos Advances in Neural Information Processing Systems (NIPS), 3032-3040, 2014	48	2014
A hidden Markov model for analyzing eye-tracking of moving objects J Kim, S Singh, ED Thiessen, AV Fisher Behavior Research Methods, 1-19, 2020	28	2020
Nonparanormal Information Estimation S Singh, B Poczos arXiv preprint arXiv:1702.07803, 2017	19	2017
Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains S Rashid, Z Long, S Singh, M Kohram, H Vashistha, S Navlakha, ... Proceedings of the National Academy of Sciences 116 (24), 11770-11775, 2019	17	2019
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan SÖ Arık, J Shor, R Sinha, J Yoon, JR Ledsam, LT Le, MW Dusenberry, ... NPJ digital medicine 4 (1), 146, 2021	12	2021
Distributed Gradient Descent in Bacterial Food Search S Singh, S Rashid, Z Long, S Navlakha, H Salman, ZN Oltvai, ... Annual International Conference on Research in Computational Molecular Biology, 2016	10	2016
Continuum-armed bandits: A function space perspective S Singh International Conference on Artificial Intelligence and Statistics, 2620-2628, 2021	7	2021
Darc: Differentiable architecture compression S Singh, A Khetan, Z Karnin arXiv preprint arXiv:1905.08170, 2019	7	2019
Minimax reconstruction risk of convolutional sparse dictionary learning S Singh, B Póczos, J Ma International Conference on Artificial Intelligence and Statistics, 1327-1336, 2018	7	2018
Interpretable Sequence Learning for Covid-19 Forecasting. arXiv 2020 S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ... arXiv preprint arXiv:2008.00646, 0	7
A bacterial based distributed gradient descent model for mass scale evacuations S Rashid, S Singh, S Navlakha, Z Bar-Joseph Swarm and Evolutionary Computation 46, 97-103, 2019	5	2019
Probable domain generalization via quantile risk minimization C Eastwood, A Robey, S Singh, J Von Kügelgen, H Hassani, GJ Pappas, ... Neural Information Processing Systems (NeurIPS), 2022	3	2022

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors