Seuraa
Satya Narayan Shukla
Satya Narayan Shukla
Meta AI
Vahvistettu sähköpostiosoite verkkotunnuksessa meta.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Interpolation-prediction networks for irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:1909.07782, 2019
1552019
Multi-time attention networks for irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:2101.10318, 2021
1422021
Black-box adversarial attacks with bayesian optimization
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:1909.13857, 2019
392019
Simple and efficient hard label black-box adversarial attacks in low query budget regimes
SN Shukla, AK Sahu, D Willmott, Z Kolter
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
332021
A survey on principles, models and methods for learning from irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:2012.00168, 2020
33*2020
Noninvasive cuffless blood pressure measurement by vascular transit time
SN Shukla, K Kakwani, A Patra, BK Lahkar, VK Gupta, A Jayakrishna, ...
2015 28th International Conference on VLSI Design, 535-540, 2015
332015
Heteroscedastic temporal variational autoencoder for irregularly sampled time series
SN Shukla, BM Marlin
arXiv preprint arXiv:2107.11350, 2021
192021
The belebele benchmark: a parallel reading comprehension dataset in 122 language variants
L Bandarkar, D Liang, B Muller, M Artetxe, SN Shukla, D Husa, N Goyal, ...
arXiv preprint arXiv:2308.16884, 2023
182023
Integrating physiological time series and clinical notes with deep learning for improved icu mortality prediction
SN Shukla, BM Marlin
arXiv preprint arXiv:2003.11059, 2020
162020
Estimation of blood pressure from non-invasive data
SN Shukla
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
152017
Modeling irregularly sampled clinical time series
SN Shukla, BM Marlin
arXiv preprint arXiv:1812.00531, 2018
92018
Hard label black-box adversarial attacks in low query budget regimes
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:2007.07210 2 (5), 13, 2020
62020
Assessing the adversarial robustness of monte carlo and distillation methods for deep bayesian neural network classification
MP Vadera, SN Shukla, B Jalaian, BM Marlin
arXiv preprint arXiv:2002.02842, 2020
52020
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models
A Sengupta, AP Prathosh, SN Shukla, V Rajan, CK Reddy
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
32017
Learning to localize objects improves spatial reasoning in visual-llms
K Ranasinghe, SN Shukla, O Poursaeed, MS Ryoo, TY Lin
arXiv preprint arXiv:2404.07449, 2024
12024
Deep Learning Models for Irregularly Sampled and Incomplete Time Series
SN Shukla
12021
Adversarial distillation of bayesian neural networks
SN Shukla, MP Vadera, B Jalaian, BM Marlin
12020
Universal Pyramid Adversarial Training for Improved ViT Performance
P Chiang, Y Zhou, O Poursaeed, SN Shukla, A Shah, T Goldstein, SN Lim
arXiv preprint arXiv:2312.16339, 2023
2023
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding
M Afham, SN Shukla, O Poursaeed, P Zhang, A Shah, S Lim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
Bayesian-optimization-based query-efficient black-box adversarial attacks
SN Shukla, AK Sahu, D Willmott, JZ Kolter
US Patent 11,494,639, 2022
2022
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