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 (VLSID, 2015)

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 (EMBC, 2017)

Estimation of blood pressure from non-invasive data. - Satya Narayan Shukla (EMBC, 2017)

Modeling Irregularly Sampled Clinical Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (CoRR, 2018)

Interpolation-Prediction Networks for Irregularly Sampled Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (ICLR (Poster), 2019)

Black-box Adversarial Attacks with Bayesian Optimization. - Satya Narayan Shukla; Anit Kumar Sahu; Devin Willmott; J. Zico Kolter (CoRR, 2019)

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)

Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction. - Satya Narayan Shukla; Benjamin M. Marlin (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)

Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks. - Anit Kumar Sahu; Satya Narayan Shukla; J. Zico Kolter (CoRR, 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)

Multi-Time Attention Networks for Irregularly Sampled Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (ICLR, 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 (KDD, 2021)

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. - Satya Narayan Shukla; Benjamin M. Marlin (ICLR, 2022)

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 (ICCV (Workshops), 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 001; Abhinandan Krishnan; Luke Zettlemoyer; Madian Khabsa (ACL (1), 2024)

Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. - Kanchana Ranasinghe; Satya Narayan Shukla; Omid Poursaeed; Michael S. Ryoo; Tsung-Yu Lin (CVPR, 2024)

uCAP: An Unsupervised Prompting Method for Vision-Language Models. - A. Tuan Nguyen; Kai Sheng Tai; Bor-Chun Chen; Satya Narayan Shukla; Hanchao Yu; Philip Torr 001; Tai-Peng Tian; Ser-Nam Lim (ECCV (74), 2024)

CompCap: Improving Multimodal Large Language Models with Composite Captions. - Xiaohui Chen; Satya Narayan Shukla; Mahmoud Azab; Aashu Singh; Qifan Wang 001; David Yang; ShengYun Peng; Hanchao Yu; Shen Yan; Xuewen Zhang; Baosheng He (CoRR, 2024)

BRIDLE: Generalized Self-supervised Learning with Quantization. - Hoang M. Nguyen; Satya Narayan Shukla; Qiang Zhang; Hanchao Yu; Sreya Dutta Roy; Tai-Peng Tian; Lingjiong Zhu; Yuchen Liu (CoRR, 2025)

A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. - Shashank Gupta 001; Chaitanya Ahuja; Tsung-Yu Lin; Sreya Dutta Roy; Harrie Oosterhuis; Maarten de Rijke; Satya Narayan Shukla (CoRR, 2025)

Transfer between Modalities with MetaQueries. - Xichen Pan; Satya Narayan Shukla; Aashu Singh; Zhuokai Zhao; Shlok Kumar Mishra; Jialiang Wang; Zhiyang Xu; Jiuhai Chen; Kunpeng Li; Felix Juefei-Xu; Ji Hou; Saining Xie (CoRR, 2025)