Satya Narayan Shukla

发表

Noninvasive cuffless blood pressure measurement by vascular transit time

Satya Narayan Shukla, Karan Kakwani, Amit Patra, 2015, 2015 28th International Conference on VLSI Design.

Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models

Satya Narayan Shukla, Chandan K. Reddy, Vaibhav Rajan, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter, 2020, ArXiv.

Black-box Adversarial Attacks with Bayesian Optimization pdf

Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter, 2019, ArXiv.

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

Satya Narayan Shukla, Benjamin M. Marlin, Benjamin M Marlin, 2020, ArXiv.

Interpolation-Prediction Networks for Irregularly Sampled Time Series pdf

Satya Narayan Shukla, Benjamin M. Marlin, Benjamin M Marlin, 2019, ICLR.

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

Satya Narayan Shukla, Benjamin M. Marlin, Borhan Jalaeian, 2020, ArXiv.

Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks pdf

Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter, 2020, ArXiv.

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

Satya Narayan Shukla, Benjamin M. Marlin, Benjamin M Marlin, 2020, ArXiv.

Multi-Time Attention Networks for Irregularly Sampled Time Series

Satya Narayan Shukla, Benjamin M. Marlin, Benjamin M Marlin, 2020, ICLR.

Modeling Irregularly Sampled Clinical Time Series pdf

Satya Narayan Shukla, Benjamin M. Marlin, Benjamin M Marlin, 2018, ArXiv.

Estimation of blood pressure from non-invasive data

Satya Narayan Shukla, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-Time Attention Networks for Irregularly Sampled Time Series pdf

Satya Narayan Shukla, Benjamin Marlin, 2021, ICLR 2021 Poster.

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

Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter, 2021, KDD.

Deep Learning Models for Irregularly Sampled and Incomplete Time Series

Satya Narayan Shukla, 2021 .

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

Satya Narayan Shukla, Benjamin M Marlin, 2020, ArXiv.

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Satya Narayan Shukla, Benjamin M Marlin, 2019, ICLR.

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

Anit Kumar Sahu, Satya Narayan Shukla, J. Z. Kolter, 2020, KDD.

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series pdf

Satya Narayan Shukla, Benjamin M. Marlin, Benjamin M Marlin, 2021, ICLR.

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Satya Narayan Shukla, Naman Goyal, Luke Zettlemoyer, 2023, ArXiv.

Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding

Satya Narayan Shukla, Omid Poursaeed, Mohamed Afham, 2023, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).