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Satya Narayan Shukla
Satya Narayan Shukla
Meta AI
Verified email at cs.umass.edu - Homepage
Title
Cited by
Cited by
Year
Interpolation-prediction networks for irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:1909.07782, 2019
992019
Multi-time attention networks for irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:2101.10318, 2021
442021
Black-box adversarial attacks with bayesian optimization
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:1909.13857, 2019
292019
Noninvasive cuffless blood pressure measurement by vascular transit time
SN Shukla, K Kakwani, A Patra, BK Lahkar, VK Gupta, A Jayakrishna, ...
2015 28th International Conference on VLSI Design, 535-540, 2015
252015
Simple and efficient hard label black-box adversarial attacks in low query budget regimes
SN Shukla, AK Sahu, D Willmott, Z Kolter
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
142021
A survey on principles, models and methods for learning from irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:2012.00168, 2020
14*2020
Estimation of blood pressure from non-invasive data
SN Shukla
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
122017
Integrating physiological time series and clinical notes with deep learning for improved ICU mortality prediction
SN Shukla, BM Marlin
arXiv preprint arXiv:2003.11059, 2020
92020
Hard label black-box adversarial attacks in low query budget regimes
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:2007.07210 2 (5), 13, 2020
62020
Assessing the adversarial robustness of monte carlo and distillation methods for deep bayesian neural network classification
MP Vadera, SN Shukla, B Jalaian, BM Marlin
arXiv preprint arXiv:2002.02842, 2020
52020
Modeling irregularly sampled clinical time series
SN Shukla, BM Marlin
arXiv preprint arXiv:1812.00531, 2018
52018
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
SN Shukla, BM Marlin
arXiv preprint arXiv:2107.11350, 2021
42021
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models
A Sengupta, AP Prathosh, SN Shukla, V Rajan, CK Reddy
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
32017
Adversarial distillation of bayesian neural networks
SN Shukla, MP Vadera, B Jalaian, BM Marlin
12020
Bayesian-optimization-based query-efficient black-box adversarial attacks
SN Shukla, AK Sahu, D Willmott, JZ Kolter
US Patent 11,494,639, 2022
2022
Deep Learning Models for Irregularly Sampled and Incomplete Time Series
SN Shukla
2021
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
AK Sahu, SN Shukla, JZ Kolter
arXiv preprint arXiv:2010.04205, 2020
2020
Forecasting a patient vital measurement for healthcare analytics
A Sengupta, BS Solanki, PA Prasad, V Rajan, KO Sinclair, S Fullerton, ...
US Patent 10,559,385, 2020
2020
System and method of modeling irregularly sampled temporal data using Kalman filters
A Sengupta, PA Prasad, SN Shukla, V Rajan, K Sinclair, S Fullerton
US Patent 10,437,944, 2019
2019
Universal Pyramid Adversarial Training for Improved ViT Performance
P Chiang, Y Zhou, O Poursaeed, SN Shukla, T Goldstein, SN Lim
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