Satya Narayan Shukla

According to our database, Satya Narayan Shukla authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Universal Pyramid Adversarial Training for Improved ViT Performance.

Ping-yeh Chiang, Yipin Zhou, Omid Poursaeed, Satya Narayan Shukla, Ashish Shah, Tom Goldstein, Ser-Nam Lim

CoRR, 2023

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

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa

CoRR, 2023

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

Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series.

Satya Narayan Shukla, Benjamin M. Marlin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-Time Attention Networks for Irregularly Sampled Time Series.

Satya Narayan Shukla, Benjamin M. Marlin

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

CoRR, 2020

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

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

CoRR, 2020

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

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter

CoRR, 2020

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

Satya Narayan Shukla, Benjamin M. Marlin

CoRR, 2020

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

Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin

CoRR, 2020

2019

Black-box Adversarial Attacks with Bayesian Optimization.

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter

CoRR, 2019

Interpolation-Prediction Networks for Irregularly Sampled Time Series.

Satya Narayan Shukla, Benjamin M. Marlin

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Modeling Irregularly Sampled Clinical Time Series.

Satya Narayan Shukla, Benjamin M. Marlin

CoRR, 2018

2017

Estimation of blood pressure from non-invasive data.

Satya Narayan Shukla

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

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

Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

Noninvasive Cuffless Blood Pressure Measurement by Vascular Transit Time.

Satya Narayan Shukla, Karan Kakwani, Amit Patra, Bipin Kumar Lahkar, Vivek Kumar Gupta, Alwar Jayakrishna, Puneet Vashisht, Induja Sreekanth

Proceedings of the 28th International Conference on VLSI Design, 2015