Shashank Singh

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Citations	1094	962
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i10-index	18	17

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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, AppleVerified email at apple.com
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
Yang YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Jaeah KimGraduate Student, Department of Psychology, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Ziv Bar-JosephProfessor of Computational Biology and Machine Learning, School of Computer Science, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Long T. LeStaff Research Engineer, GoogleVerified email at google.com
Vikas MenonGoogleVerified email at google.com
Rajarishi SinhaGoogle Cloud AIVerified email at google.com
Arkady EpshteynGoogleVerified email at google.com
Ruochi ZhangBroad InstituteVerified email at broadinstitute.org
Julius von KügelgenETH ZürichVerified email at stat.math.ethz.ch
Cian EastwoodUniversity of EdinburghVerified email at ed.ac.uk
Saket NavlakhaAssociate Professor, Cold Spring Harbor LaboratoryVerified email at cshl.edu
Jinsung YoonResearch Scientist at Google Cloud AIVerified email at google.com
Sercan O. ArikGoogleVerified 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 (2), 122-137, 2019	158*	2019
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	103	2020
Finite-sample analysis of fixed-k nearest neighbor density functional estimators S Singh, B Póczos Advances in Neural Information Processing Systems, 1217-1225, 2016	102*	2016
Exploiting sequence-based features for predicting enhancer–promoter interactions Y Yang, R Zhang, S Singh, J Ma Bioinformatics 33 (14), i252-i260, 2017	99	2017
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	89	2018
Minimax distribution estimation in Wasserstein distance S Singh, B Póczos arXiv preprint arXiv:1802.08855, 2018	80	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	77	2019
Generalized exponential concentration inequality for Rényi divergence estimation S Singh, B Póczos International Conference on Machine Learning, 333-341, 2014	65	2014
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	62	2022
Exponential Concentration of a Density Functional Estimator S Singh, B Poczos Advances in Neural Information Processing Systems (NIPS), 3032-3040, 2014	56	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	31	2020
Nonparanormal Information Estimation S Singh, B Poczos arXiv preprint arXiv:1702.07803, 2017	24	2017
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	23	2021
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	22	2019
Optimal binary classification beyond accuracy S Singh, JT Khim Advances in Neural Information Processing Systems 35, 18226-18240, 2022	14*	2022
Continuum-armed bandits: A function space perspective S Singh International Conference on Artificial Intelligence and Statistics, 2620-2628, 2021	12	2021
Spuriosity didn’t kill the classifier: Using invariant predictions to harness spurious features C Eastwood, S Singh, AL Nicolicioiu, M Vlastelica Pogančić, ... Advances in Neural Information Processing Systems 36, 2024	11	2024
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	11	2016
Darc: Differentiable architecture compression S Singh, A Khetan, Z Karnin arXiv preprint arXiv:1905.08170, 2019	9	2019
Robust density estimation under Besov IPM losses A Uppal, S Singh, B Póczos Advances in Neural Information Processing Systems 33, 5345-5355, 2020	8	2020

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