Kavya Gupta

26 papers A* 1B 6Misc 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination.
AAAI
Ayan Majumdar, Deborah Dormah Kanubala, Kavya Gupta, Isabel Valera
2025 J jnl
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination.
CoRR
Ayan Majumdar, Deborah Dormah Kanubala, Kavya Gupta, Isabel Valera
2025 J jnl
Towards Reasonable Concept Bottleneck Models.
CoRR
Nektarios Kalampalikis, Kavya Gupta, Georgi Vitanov, Isabel Valera
2024 J jnl
An energy-efficient hierarchical data fusion approach in IoT.
Multim. Tools Appl.
Kavya Gupta, Devendra Kumar Tayal, Aarti Jain
2024 — conf
Fairness Beyond Binary Decisions: a Case Study on German Credit.
EWAF
Deborah Dormah Kanubala, Isabel Valera, Kavya Gupta
2023 J jnl
A Novel Intuitionistic Fuzzy Inference System for Feature Subset Selection in Weather Prediction.
Wirel. Pers. Commun.
Kavya Gupta, Devendra Kumar Tayal, Aarti Jain
2023 J jnl
CertViT: Certified Robustness of Pre-Trained Vision Transformers.
CoRR
Kavya Gupta, Sagar Verma
2023 — conf
Post Wildfire Burnt-up Detection Using Siamese UNet.
PKDD/ECML Workshops (5)
Sagar Verma, Kavya Gupta
2023 — —
Stability Quantification of Neural Networks. (Quantification de la stabilité des réseaux de neurones).
Kavya Gupta
2022 — conf
Safe Design of Stable Neural Networks for Fault Detection in Small UAVs.
SAFECOMP Workshops
Kavya Gupta, Fateh Kaakai, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2021 Misc conf
A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data.
ICASSP
Kavya Gupta, Béatrice Pesquet-Popescu, Fateh Kaakai, Jean-Christophe Pesquet
2021 — conf
An Adversarial Attacker for Neural Networks in Regression Problems.
AISafety@IJCAI
Kavya Gupta, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu, Fateh Kaakai, Fragkiskos D. Malliaros
2020 — conf
Signal Denoising Using a New Class of Robust Neural Networks.
EUSIPCO
Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu
2019 B conf
Lifting 2d Human Pose to 3d : A Weakly Supervised Approach.
IJCNN
Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick
2019 J jnl
Lifting 2d Human Pose to 3d : A Weakly Supervised Approach.
CoRR
Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick
2018 B conf
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals.
IJCNN
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
2018 J jnl
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals.
CoRR
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
2018 — conf
Coupled Autoencoder Based Reconstruction of Images from Compressively Sampled Measurements.
EUSIPCO
Kavya Gupta, Brojeshwar Bhowmick
2018 J jnl
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization.
Neural Process. Lett.
Kavya Gupta, Angshul Majumdar
2018 J jnl
Motion Blur removal via Coupled Autoencoder.
CoRR
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
2017 B conf
Learning autoencoders with low-rank weights.
ICIP
Kavya Gupta, Angshul Majumdar
2017 B conf
Motion blur removal via coupled autoencoder.
ICIP
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
2016 B conf
Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery.
DCC
Kavya Gupta, Ankita Raj, Angshul Majumdar
2016 B conf
Sparsely connected autoencoder.
IJCNN
Kavya Gupta, Angshul Majumdar
2016 — conf
Stacked Robust Autoencoder for Classification.
ICONIP (3)
Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand
2015 J jnl
Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery.
CoRR
Kavya Gupta, Ankita Raj, Angshul Majumdar