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Shashank Singh
Shashank Singh
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
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
136*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
96*2016
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
932020
Exploiting sequence-based features for predicting enhancer–promoter interactions
Y Yang, R Zhang, S Singh, J Ma
Bioinformatics 33 (14), i252-i260, 2017
892017
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
762018
Minimax distribution estimation in Wasserstein distance
S Singh, B Póczos
arXiv preprint arXiv:1802.08855, 2018
712018
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
652019
Generalized exponential concentration inequality for Rényi divergence estimation
S Singh, B Póczos
International Conference on Machine Learning, 333-341, 2014
632014
Exponential Concentration of a Density Functional Estimator
S Singh, B Poczos
Advances in Neural Information Processing Systems (NIPS), 3032-3040, 2014
542014
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
332022
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
302020
Nonparanormal Information Estimation
S Singh, B Poczos
arXiv preprint arXiv:1702.07803, 2017
212017
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
202019
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
182021
Continuum-armed bandits: A function space perspective
S Singh
International Conference on Artificial Intelligence and Statistics, 2620-2628, 2021
112021
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
112016
Darc: Differentiable architecture compression
S Singh, A Khetan, Z Karnin
arXiv preprint arXiv:1905.08170, 2019
92019
n-Player stochastic duel game model with applied deep learning and its modern implications
M Gupta, B Sharma, A Tripathi, S Singh, A Bhola, R Singh, AD Dwivedi
Sensors 22 (6), 2422, 2022
82022
Optimal Binary Classification Beyond Accuracy
S Singh, JT Khim
Advances in Neural Information Processing Systems 35, 18226-18240, 2022
7*2022
Minimax reconstruction risk of convolutional sparse dictionary learning
S Singh, B Póczos, J Ma
International Conference on Artificial Intelligence and Statistics, 1327-1336, 2018
62018
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