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Kavya Gupta
Kavya Gupta
Saarland University
Verified email at centralesupelec.fr - Homepage
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Cited by
Cited by
Year
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
Nature communications 12 (1), 1-11, 2021
1572021
Non-destructive method to detect artificially ripened banana using hyperspectral sensing and RGB imaging
BS Mithun, S Shinde, K Bhavsar, A Chowdhury, S Mukhopadhyay, ...
Sensing for agriculture and food quality and safety X 10665, 122-130, 2018
202018
An Adversarial Attacker for Neural Networks in Regression Problems.
K Gupta, JC Pesquet, B Pesquet-Popescu, F Kaakai, FD Malliaros
AISafety@ IJCAI, 2021
182021
Lifting 2d human pose to 3d: A weakly supervised approach
S Biswas, S Sinha, K Gupta, B Bhowmick
2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019
142019
Motion blur removal via coupled autoencoder
K Gupta, B Bhowmick, A Majumdar
2017 IEEE International Conference on Image Processing (ICIP), 480-484, 2017
112017
Stacked robust autoencoder for classification
J Mehta, K Gupta, A Gogna, A Majumdar, S Anand
Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016
102016
AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
medRxiv, 2020.05. 14.20101972, 2020
92020
Sparsely connected autoencoder
K Gupta, A Majumdar
2016 International Joint Conference on Neural Networks (IJCNN), 1940-1947, 2016
92016
Multivariate lipschitz analysis of the stability of neural networks
K Gupta, F Kaakai, B Pesquet-Popescu, JC Pesquet, FD Malliaros
Frontiers in Signal Processing 2, 794469, 2022
82022
Weakly supervised learning of 3D human poses from 2D poses
S Biswas, S Sinha, K Gupta, B Bhowmick
US Patent 11,256,962, 2022
62022
A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data
K Gupta, B Pesquet-Popescu, F Kaakai, JC Pesquet
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
62021
Safe design of stable neural networks for fault detection in small UAVs
K Gupta, F Kaakai, B Pesquet-Popescu, JC Pesquet
International Conference on Computer Safety, Reliability, and Security, 263-275, 2022
52022
Signal denoising using a new class of robust neural networks
A Neacsu, K Gupta, JC Pesquet, C Burileanu
2020 28th European Signal Processing Conference (EUSIPCO), 1492-1496, 2021
42021
Imposing class-wise feature similarity in stacked autoencoders by nuclear norm regularization
K Gupta, A Majumdar
Neural Processing Letters 48 (1), 615-629, 2018
42018
Learning autoencoders with low-rank weights
K Gupta, A Majumdar
2017 IEEE International Conference on Image Processing (ICIP), 3899-3903, 2017
42017
CertViT: Certified Robustness of Pre-Trained Vision Transformers
K Gupta, S Verma
arXiv preprint arXiv:2302.10287, 2023
32023
Integration of clinical characteristics, lab tests and a deep learning CT scan analysis to predict severity of hospitalized COVID-19 patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
MedRxiv, 2020
32020
Coupled autoencoder based reconstruction of images from compressively sampled measurements
K Gupta, B Bhowmick
2018 26th European Signal Processing Conference (EUSIPCO), 1067-1071, 2018
32018
Post Wildfire Burnt-up Detection using Siamese UNet
S Verma, K Gupta
ECML PKDD 2023-European Conference on Machine Learning and Principles and …, 2023
22023
Robustness of Neural Networks used in Electrical Motor Time-Series
S Verma, K Gupta
Workshop on Robustness in Sequence Modeling, 36th Conference on Neural …, 2022
22022
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