| Rate-adaptive neural networks for spatial multiplexers S Lohit, R Singh, K Kulkarni, P Turaga arXiv preprint arXiv:1809.02850, 2018 | 18 | 2018 |
| Generative adversarial networks for synthetic defect generation in assembly and test manufacturing R Singh, R Garg, NS Patel, MW Braun 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC …, 2020 | 17 | 2020 |
| Machine-learning-based algorithms for automated image segmentation techniques of transmission X-ray microscopy (TXM) H Torbati-Sarraf, S Niverty, R Singh, D Barboza, V De Andrade, P Turaga, ... Jom 73 (7), 2173-2184, 2021 | 16 | 2021 |
| Non-parametric priors for generative adversarial networks R Singh, P Turaga, S Jayasuriya, R Garg, M Braun International Conference on Machine Learning, 5838-5847, 2019 | 13 | 2019 |
| Polynomial implicit neural representations for large diverse datasets R Singh, A Shukla, P Turaga Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Halluci-net: Scene completion by exploiting object co-occurrence relationships K Kulkarni, T Gokhale, R Singh, P Turaga, A Sankaranarayanan arXiv preprint arXiv:2004.08614, 2020 | 3 | 2020 |
| Scene graph driven text-prompt generation for image inpainting T Shukla, P Maheshwari, R Singh, A Shukla, K Kulkarni, P Turaga Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 2 | 2023 |
| Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments R Singh, A Shukla, P Turaga Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| Rank-regularized measurement operators for compressive imaging S Lohit, R Singh, K Kulkarni, P Turaga 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 942-946, 2019 | 1 | 2019 |
| Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks S Sornapudi, R Singh arXiv preprint arXiv:2403.15248, 2024 | | 2024 |
| Robust and Controllable Generative Models by Leveraging Physics-Based, Probabilistic, and Geometric Methods R Singh Arizona State University, 2023 | | 2023 |
| Deep Geometric Moment. R Singh, A Shukla, PK Turaga CoRR, 2022 | | 2022 |
| Intrinsic Fault Tolerance of Hopfield Model for Scheduling Technique in RSoC S Rajhans, D Chillet International Conference on Neural Computing and Therory Application (NCTA 2014), 2014 | | 2014 |
| Intrinsic Fault Tolerance of Hopfield Artificial Neural Network Model for Task Scheduling Technique in SoC R Singh, D Chillet International Conference on Neural Computation Theory and Applications 2 …, 2014 | | 2014 |
| Orthogonality and graph divergence losses promote disentanglement in generative models A Shukla, R Dadich, R Singh, A Rayas, P Saidi, G Dasarathy, V Berisha, ... Frontiers in Computer Science 6, 1274779, 0 | | |
