Satya Narayan Shukla

Research Scientist at Facebook AI
satyanshukla@fb.com
Google Scholar


I am a Research Scientist at Facebook AI. I'm interested in building deep learning models for advancing state-of-the-art for sequence modeling with applications to natural language processing, speech, and time series.
Previously, I completed my Ph.D. in Computer Science at UMass Amherst advised by Benjamin Marlin. During my Ph.D., I spent wonderful summers interning at Microsoft Research, Bosch Center for AI, and Facebook. I earned my Bachelors (Hons.) and Masters in Electrical Engineering from Indian Institute of Technology Kharagpur and was awarded the prestigious Institute Silver Medal.

Publications


Some of my work is available as preprints on arXiv. [* denotes equal contribution]

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
CoRR, abs/2107.11350, 2021

Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, Zico Kolter
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021

Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
Learning with Missing Values Workshop at International Conference on Machine Learning, 2020
International Conference on Learning Representations, 2021

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
ML Retrospectives, Surveys & Meta-Analyses (ML-RSA) Workshop at NeurIPS, 2020

Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
Anit Kumar Sahu, Satya Narayan Shukla, Zico Kolter
CoRR, abs/2010.04205, 2020

Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction
Satya Narayan Shukla, Benjamin Marlin
ACM Conference on Health, Inference, and Learning, Workshop Track, 2020

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
Meet Vadera*, Satya Narayan Shukla*, Brian Jalaian, Benjamin Marlin
Artificial Intelligence Safety (SafeAI) Workshop at AAAI Conference on Artificial Intelligence, 2020

Black-box Adversarial Attacks with Bayesian Optimization
Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, Zico Kolter
CoRR, abs/1909.13857, 2019

Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
International Conference on Learning Representations, 2019

Modeling Irregularly Sampled Clinical Time Series
Satya Narayan Shukla, Benjamin Marlin
Machine Learning for Health (ML4H) Workshop at Neural Information Processing Systems, 2018

Prediction and Imputation in Irregularly Sampled Clinical Time Series Data using Hierarchical Linear Dynamical Models
Abhishek Sengupta, Prathosh AP, Satya Narayan Shukla, Vaibhav Rajan, Chandan K Reddy
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017

Estimation of Blood Pressure from Non-invasive Data
Satya Narayan Shukla
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017

Non-invasive 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
IEEE International Conference on VLSI Design, 2015

Patents


Bayesian-optimization-based Query-efficient Black-box Adversarial Attacks
Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, Zico Kolter

Methods and Systems for Modeling Irregularly Sampled Temporal Data using Kalman Filters
Abhishek Sengupta, Prathosh AP, Satya Narayan Shukla, Vaibhav Rajan, Katerina Sinclair, Stephen Fullerton

Forecasting Patient Vital Measurements for Healthcare Analytics
Abhishek Sengupta, Bhupendra Singh Solanki, Prathosh AP, Vaibhav Rajan, Katerina Sinclair, Stephen Fullerton, Satya Narayan Shukla

Awards


  • Recipient of Travel Award: ICLR 2019, ML for Health Workshop NeurIPS 2018
  • Institute Silver Medal on being adjudged the best student academically in Electrical Engineering, IIT Kharagpur, 2015
  • Best Project Award for M.Tech Thesis in Electrical Engineering, IIT Kharagpur, 2015
  • Samsung Innovation Award for a novel idea of measuring blood pressure, 2014
  • Offered the WISE scholarship by DAAD for a research internship at RWTH Aachen, Germany, 2014
  • Awarded the prestigious OP Jindal Engineering and Management Scholarship (given to only 100 students across India) for academic and leadership excellence, 2013
  • Secured an All India Rank 96 in National Science Olympiad, 2009

Teaching


  • Teaching Assistant, COMPSCI 585: Introduction to Natural Language Processing, UMass Amherst, Fall 2017
  • Teaching Assistant, COMPSCI 187: Programming with Data Structures, UMass Amherst, Summer 2017
  • Teaching Assistant, COMPSCI 121: Introduction to Problem Solving with Computers, UMass Amherst, Spring 2017
  • Teaching Assistant, Embedded Systems Laboratory, IIT Kharagpur, Spring 2015
  • Teaching Assistant, Signals and Networks, IIT Kharagpur, Fall 2014