Kavya Gupta

According to our database, Kavya Gupta authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An energy-efficient hierarchical data fusion approach in IoT.

Kavya Gupta, Devendra Kumar Tayal, Aarti Jain

Multim. Tools Appl., March, 2024

2023

A Novel Intuitionistic Fuzzy Inference System for Feature Subset Selection in Weather Prediction.

Kavya Gupta, Devendra Kumar Tayal, Aarti Jain

Wirel. Pers. Commun., November, 2023

Stability Quantification of Neural Networks. (Quantification de la stabilité des réseaux de neurones).

Kavya Gupta

PhD thesis, 2023

CertViT: Certified Robustness of Pre-Trained Vision Transformers.

Kavya Gupta, Sagar Verma

CoRR, 2023

2022

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

Kavya Gupta, Fateh Kaakai, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops, 2022

2021

An Adversarial Attacker for Neural Networks in Regression Problems.

Kavya Gupta, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu, Fateh Kaakai, Fragkiskos D. Malliaros

Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data.

Kavya Gupta, Béatrice Pesquet-Popescu, Fateh Kaakai, Jean-Christophe Pesquet

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Signal Denoising Using a New Class of Robust Neural Networks.

Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Lifting 2d Human Pose to 3d : A Weakly Supervised Approach.

Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization.

Kavya Gupta, Angshul Majumdar

Neural Process. Lett., 2018

Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals.

Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Coupled Autoencoder Based Reconstruction of Images from Compressively Sampled Measurements.

Kavya Gupta, Brojeshwar Bhowmick

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Learning autoencoders with low-rank weights.

Kavya Gupta, Angshul Majumdar

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Motion blur removal via coupled autoencoder.

Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Sparsely connected autoencoder.

Kavya Gupta, Angshul Majumdar

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Stacked Robust Autoencoder for Classification.

Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery.

Kavya Gupta, Ankita Raj, Angshul Majumdar

Proceedings of the 2016 Data Compression Conference, 2016