Satya Narayan Shukla
Title
Cited by
Cited by
Year
Interpolation-prediction networks for irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:1909.07782, 2019
482019
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
202015
Black-box adversarial attacks with bayesian optimization
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:1909.13857, 2019
142019
Estimation of blood pressure from non-invasive data
SN Shukla
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
102017
Multi-Time Attention Networks for Irregularly Sampled Time Series
SN Shukla, BM Marlin
arXiv preprint arXiv:2101.10318, 2021
52021
Hard label black-box adversarial attacks in low query budget regimes
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:2007.07210, 2020
52020
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
42020
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
32020
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance
SN Shukla, BM Marlin
32020
Modeling irregularly sampled clinical time series
SN Shukla, BM Marlin
arXiv preprint arXiv:1812.00531, 2018
32018
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
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
2021
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
SN Shukla, BM Marlin
arXiv preprint arXiv:2107.11350, 2021
2021
Bayesian-optimization-based query-efficient black-box adversarial attacks
SN Shukla, AK Sahu, D Willmott, JZ Kolter
US Patent App. 16/580,587, 2021
2021
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series
SN Shukla, BM Marlin
arXiv preprint arXiv:2012.00168, 2020
2020
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
Adversarial Distillation of Bayesian Neural Networks
SN Shukla, MP Vadera, B Jalaian, BM Marlin
An Iterative and Feedback-based Data Cleaning approach for enhancing Machine Learning Models
R Mody, SN Shukla, U Srivastava
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Articles 1–20