| Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers A Joshi, A Mukherjee, S Sarkar, C Hegde International Conference on Computer Vision (ICCV), 2019 | 77 | 2019 |
| InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models A Joshi, M Cho, V Shah, B Pokuri, S Sarkar, B Ganapathysubramanian, ... The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 38* | 2020 |
| Fast inverse design of microstructures via generative invariance networks XY Lee, JR Waite, CH Yang, BSS Pokuri, A Joshi, A Balu, C Hegde, ... Nature Computational Science 1 (3), 229-238, 2021 | 23 | 2021 |
| Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning A Vahadane, A Joshi, K Madan, TR Dastidar 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 19 | 2018 |
| Adversarially Robust Learning via Entropic Regularization G Jagatap, A Joshi, AB Chowdhury, S Garg, C Hegde Frontiers in artificial intelligence 4, 780843, 2022 | 13 | 2022 |
| Adversarial token attacks on vision transformers A Joshi, G Jagatap, C Hegde arXiv preprint arXiv:2110.04337, 2021 | 10 | 2021 |
| Selective network linearization for efficient private inference M Cho, A Joshi, B Reagen, S Garg, C Hegde International Conference on Machine Learning, 3947-3961, 2022 | 9 | 2022 |
| Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models A Mukherjee, A Joshi, S Sarkar, C Hegde CVPR 2019, Workshop on Vision for All Seasons (VAS), 2019 | 9 | 2019 |
| Weakly supervised fluid filled region localization in retinal OCT scans SR Athar, A Vahadane, A Joshi, TR Dastidar 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 8 | 2018 |
| Deep generative models that solve pdes: Distributed computing for training large data-free models S Botelho, A Joshi, B Khara, V Rao, S Sarkar, C Hegde, S Adavani, ... 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2020 | 7 | 2020 |
| Espn: Extremely sparse pruned networks M Cho, A Joshi, C Hegde 2021 IEEE Data Science and Learning Workshop (DSLW), 1-8, 2021 | 6 | 2021 |
| Revisiting self-distillation M Pham, M Cho, A Joshi, C Hegde arXiv preprint arXiv:2206.08491, 2022 | 5 | 2022 |
| Neufenet: Neural finite element solutions with theoretical bounds for parametric pdes B Khara, A Balu, A Joshi, S Sarkar, C Hegde, A Krishnamurthy, ... arXiv preprint arXiv:2110.01601, 2021 | 5* | 2021 |
| Generative Models for Solving Nonlinear Partial Differential Equations A Joshi, V Shah, S Ghosal, B Pokuri, S Sarkar, B Ganapathysubramanian, ... NeurIPS Workshop on ML for Physics, 2019, 2019 | 5 | 2019 |
| Caption supervision enables robust learners B Feuer, A Joshi, C Hegde arXiv preprint arXiv:2210.07396, 2022 | 2 | 2022 |
| Differentiable programming for piecewise polynomial functions M Cho, B Ganapathysubramanian, A Joshi, XY Lee, A Balu, ... | 2 | 2020 |
| Zero-Shot Insect Detection via Weak Language Supervision B Feuer, A Joshi, M Cho, K Jani, S Chiranjeevi, ZK Deng, A Balu, ... | 1 | 2023 |
| Semantic Domain Adaptation for Deep Classifiers via GAN-based Data Augmentation A Mukherjee, A Joshi, C Hegde, S Sarkar Machine Learning for Autonomous Driving Workshop at NeurIPS, 2019 | 1 | 2019 |
| Binary 2D Morphologies of Polymer Phase Separation: Dataset and Python Toolbox V Shah, A Joshi, BSS Pokuri, S Ghosal, S Sarkar, ... Zenodo, 2019 | 1 | 2019 |
| Selective visualization of anomalies in fundus images via sparse and low rank decomposition A Mahurkar, A Joshi, N Nallapareddy, P Reddy, M Feigin, A Kadambi, ... ACM SIGGRAPH 2014 Posters, 1-1, 2014 | 1 | 2014 |
Chinmay HegdeNew York UniversityVerified email at nyu.edu
