| Non-Gaussian information from weak lensing data via deep learning A Gupta, JMZ Matilla, D Hsu, Z Haiman Physical Review D 97 (10), 103515, 2018 | 169 | 2018 |
| Choroidal vascularity index in retinitis pigmentosa: an OCT study R Tan, R Agrawal, S Taduru, A Gupta, K Vupparaboina, J Chhablani Ophthalmic Surgery, Lasers and Imaging Retina 49 (3), 191-197, 2018 | 55 | 2018 |
| Measurements and modeling of near-surface radio propagation in glacial ice and implications for neutrino experiments C Deaconu, AG Vieregg, SA Wissel, J Bowen, S Chipman, A Gupta, ... Physical Review D 98 (4), 043010, 2018 | 52 | 2018 |
| Choroidal structural changes and vascularity index in stargardt disease on swept source optical coherence tomography D Ratra, R Tan, D Jaishankar, N Khandelwal, A Gupta, J Chhablani, ... Retina 38 (12), 2395-2400, 2018 | 45 | 2018 |
| Optical coherence tomography angiography characterisation of Best disease and associated choroidal neovascularisation A Guduru, A Gupta, M Tyagi, S Jalali, J Chhablani British Journal of Ophthalmology 102 (4), 444-447, 2018 | 42 | 2018 |
| Do dark matter halos explain lensing peaks? JM Zorrilla Matilla, Z Haiman, D Hsu, A Gupta, A Petri Physical Review D 94 (8), 083506, 2016 | 32 | 2016 |
| Comparative analysis of autofluorescence and OCT angiography in Stargardt disease A Guduru, M Lupidi, A Gupta, S Jalali, J Chhablani British Journal of Ophthalmology 102 (9), 1204-1207, 2018 | 28 | 2018 |
| A representation learning perspective on the importance of train-validation splitting in meta-learning N Saunshi, A Gupta, W Hu International Conference on Machine Learning, 9333-9343, 2021 | 27 | 2021 |
| Skill-Mix: A flexible and expandable family of evaluations for AI models D Yu, S Kaur, A Gupta, J Brown-Cohen, A Goyal, S Arora arXiv preprint arXiv:2310.17567, 2023 | 23 | 2023 |
| Understanding influence functions and datamodels via harmonic analysis N Saunshi, A Gupta, M Braverman, S Arora The Eleventh International Conference on Learning Representations, 2022 | 18 | 2022 |
| Quantitative assessment of the choriocapillaris in patients with retinitis pigmentosa and in healthy individuals using OCT angiography A Guduru, M Al-Sheikh, A Gupta, H Ali, S Jalali, J Chhablani Ophthalmic Surgery, Lasers and Imaging Retina 49 (10), e122-e128, 2018 | 16 | 2018 |
| On Predicting Generalization using GANs Y Zhang, A Gupta, N Saunshi, S Arora ICLR 2022, 2021 | 14 | 2021 |
| Parameter identification in Markov chain choice models A Gupta, D Hsu Theoretical Computer Science 808, 99-107, 2020 | 11 | 2020 |
| High Temperature Air Combustion: Experiences from the USA-Japan Joint Energy Project AK Gupta Invited keynote lecture at the 4th High Temperature Air Combustion and …, 2001 | 10 | 2001 |
| Jackfruit seed flour-based waffle ice cream cone: Optimization of ingredient levels using response surface methodology R Kushwaha, A Gupta, V Singh, S Kaur, V Puranik, D Kaur Heliyon 9 (2), 2023 | 9 | 2023 |
| The effect of hirsutism on the quality of life of Indian women KC Kiran, A Gupta, M Gupta Int J Res Dermatol 4 (1), 62-5, 2018 | 9 | 2018 |
| Online nonstochastic model-free reinforcement learning U Ghai, A Gupta, W Xia, K Singh, E Hazan Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| A simple saliency method that passes the sanity checks A Gupta, S Arora arXiv preprint arXiv:1905.12152, 2019 | 8 | 2019 |
| New definitions and evaluations for saliency methods: Staying intrinsic, complete and sound A Gupta, N Saunshi, D Yu, K Lyu, S Arora Advances in Neural Information Processing Systems 35, 33120-33133, 2022 | 7 | 2022 |
| Choroidal hyper-reflective foci and vascularity in retinal dystrophy D Hanumunthadu, MA Rasheed, A Goud, A Gupta, KK Vupparaboina, ... Indian Journal of Ophthalmology 68 (1), 130-133, 2020 | 7 | 2020 |
