publications

2023

1. Post Wildfire Burnt-up Detection using Siamese UNet

   Sagar Verma, and Kavya Gupta

   Chabud Competition ECML-PKDD, 2023
2. CertViT: Certified Robustness of Pre-Trained Vision Transformers

   Kavya Gupta, and Sagar Verma

   AdvML Frontiers ICML, 2023
3. Shrink & Cert: Bi-level Optimization for Certified Robustness

   Kavya Gupta, and Sagar Verma

   AdvML Frontiers ICML, 2023

2022

1. Robustness of Neural Networks used in Electrical Motor Time-Series

   Sagar Verma, and Kavya Gupta

   In Neurips RobustSeq, 2022
2. Aligning Geospatial AI for Disaster Relief with The Sphere Handbook

   Sagar Verma, Siddharth Gupta, and Kavya Gupta

   2022
3. FloodNet-to-FloodGAN: Generating Flood Scenes in Aerial Images

   Shubham Goswami, AI Granular, Sagar Verma, and 2 more authors

   2022
4. Safe Design of Stable Neural Networks for Fault Detection in Small UAVs

   Kavya Gupta, Fateh Kaakai, Béatrice Pesquet-Popescu, and 1 more author

   In SAFECOMP WAISE, 2022
5. Multivariate lipschitz analysis of the stability of neural networks

   Kavya Gupta, Fateh Kaakai, Beatrice Pesquet-Popescu, and 2 more authors

   Frontiers in Signal Processing, 2022

2021

1. An adversarial attacker for neural networks in regression problems

   Kavya Gupta, Jean-Christophe Pesquet, Beatrice Pesquet-Popescu, and 2 more authors

   In IJCAI AI Safety Workshop, 2021
2. A quantitative analysis of the robustness of neural networks for tabular data

   Kavya Gupta, Beatrice Pesquet-Popescu, Fateh Kaakai, and 1 more author

   In ICASSP, 2021
3. Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients

   Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, and 8 more authors

   Nature communications, 2021
4. Signal denoising using a new class of robust neural networks

   Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, and 1 more author

   In EUSIPCO, 2021

2019

1. Lifting 2d human pose to 3d: A weakly supervised approach

   Sandika Biswas, Sanjana Sinha, Kavya Gupta, and 1 more author

   In IJCNN, 2019

2018

1. Coupled autoencoder based reconstruction of images from compressively sampled measurements

   Kavya Gupta, and Broieshwar Bhowmick

   In EUSIPCO, 2018
2. Imposing class-wise feature similarity in stacked autoencoders by nuclear norm regularization

   Kavya Gupta, and Angshul Majumdar

   Neural Processing Letters, 2018
3. Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals

   Kavya Gupta, Brojeshwar Bhowmick, and Angshul Majumdar

   In IJCNN, 2018
4. Non-destructive method to detect artificially ripened banana using hyperspectral sensing and RGB imaging

   BS Mithun, Sujit Shinde, Karan Bhavsar, and 5 more authors

   In Sensing for agriculture and food quality and safety X, 2018

2017

1. Motion blur removal via coupled autoencoder

   Kavya Gupta, Brojeshwar Bhowmick, and Angshul Majumdar

   In ICIP, 2017
2. Learning autoencoders with low-rank weights

   Kavya Gupta, and Angshul Majumdar

   In ICIP, 2017

2016

1. Sparsely connected autoencoder

   Kavya Gupta, and Angshul Majumdar

   In IJCNN, 2016
2. Stacked robust autoencoder for classification

   Janki Mehta, Kavya Gupta, Anupriya Gogna, and 2 more authors

   In ICONIP, 2016
3. Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery

   Kavya Gupta, Ankita Raj, and Angshul Majumdar

   In DCC, 2016
4. Greedy Algorithms for Non-linear Sparse Recovery

   Kavya Gupta, and Angshul Majumdar

   In Machine Intelligence and Signal Processing, 2016