Satya Narayan Shukla | DeepAI

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Featured Co-authors

J. Zico Kolter
84 publications
Benjamin M. Marlin
19 publications
Anit Kumar Sahu
18 publications
Brian Jalaian
12 publications
Meet P. Vadera
7 publications
Devin Willmott
6 publications

∙ 07/23/2021

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

Irregularly sampled time series commonly occur in several domains where ...

0 Satya Narayan Shukla, et al. ∙

∙ 01/25/2021

Multi-Time Attention Networks for Irregularly Sampled Time Series

Irregular sampling occurs in many time series modeling applications wher...

0 Satya Narayan Shukla, et al. ∙

∙ 11/30/2020

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance

Irregularly sampled time series data arise naturally in many application...

0 Satya Narayan Shukla, et al. ∙

∙ 10/08/2020

Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks

We study the problem of generating adversarial examples in a black-box s...

0 Anit Kumar Sahu, et al. ∙

∙ 07/13/2020

Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes

We focus on the problem of black-box adversarial attacks, where the aim ...

0 Satya Narayan Shukla, et al. ∙

∙ 03/24/2020

Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction

Intensive Care Unit Electronic Health Records (ICU EHRs) store multimoda...

0 Satya Narayan Shukla, et al. ∙

∙ 02/07/2020

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification

In this paper, we consider the problem of assessing the adversarial robu...

0 Meet P. Vadera, et al. ∙

∙ 09/30/2019

Black-box Adversarial Attacks with Bayesian Optimization

We focus on the problem of black-box adversarial attacks, where the aim ...

0 Satya Narayan Shukla, et al. ∙

∙ 09/13/2019

Interpolation-Prediction Networks for Irregularly Sampled Time Series

In this paper, we present a new deep learning architecture for addressin...

0 Satya Narayan Shukla, et al. ∙

∙ 12/03/2018

Modeling Irregularly Sampled Clinical Time Series

While the volume of electronic health records (EHR) data continues to gr...

0 Satya Narayan Shukla, et al. ∙