| Amnesiac machine learning L Graves, V Nagisetty, V Ganesh Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11516 …, 2021 | 236 | 2021 |
| xai-gan: Enhancing generative adversarial networks via explainable ai systems V Nagisetty, L Graves, J Scott, V Ganesh arXiv preprint arXiv:2002.10438, 2020 | 27 | 2020 |
| Gans & reels: Creating irish music using a generative adversarial network A Kolokolova, M Billard, R Bishop, M Elsisy, Z Northcott, L Graves, ... arXiv preprint arXiv:2010.15772, 2020 | 11 | 2020 |
| Domain knowledge guided testing and training of neural networks V Nagisetty University of Waterloo, 2021 | 7 | 2021 |
| xAI-GAN: enhancing generative adversarial networks via explainable AI systems (2020) V Nagisetty, L Graves, J Scott, V Ganesh DOI: https://doi. org/10.48550/arxiv, 2002 | 5 | 2002 |
| Does AI Remember? Neural Networks and the Right to be Forgotten L Graves, V Nagisetty, V Ganesh | 3 | 2020 |
| LogicGAN: Logic-guided Generative Adversarial Networks L Graves, V Nagisetty, J Scott, V Ganesh arXiv e-prints, arXiv: 2002.10438, 2020 | 2 | 2020 |
| CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks V Nagisetty, L Graves, G Pan, P Jha, V Ganesh arXiv preprint arXiv:2304.01826, 2023 | 1 | 2023 |
| A Solver+ Gradient Descent Training Algorithm for Deep Neural Networks D Ashok, V Nagisetty, C Srinivasa, V Ganesh arXiv preprint arXiv:2207.03264, 2022 | 1 | 2022 |
| Non-sequential melody generation M Billard, R Bishop, M Elsisy, L Graves, A Kolokolova, V Nagisetty, ... | 1 | 2020 |
| OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis LW Bialokozowicz, HM Le, T Sylvain, PAI Forsyth, V Nagisetty, G Mori arXiv preprint arXiv:2402.01955, 2024 | | 2024 |
| 4.17 CGDTest: Constraint-based Gradient Descent Fuzzer for DNNs V Nagisetty Machine Learning and Logical Reasoning: The New Frontier, 103, 0 | | |
| Feature Importance and Explainability H Hajimirsadeghi, T Durand, C Srinivasa, V Nagisetty | | |
