| A multi-functional in-memory inference processor using a standard 6T SRAM array M Kang, SK Gonugondla, A Patil, NR Shanbhag IEEE Journal of Solid-State Circuits 53 (2), 642-655, 2018 | 230 | 2018 |
| Compressing gans using knowledge distillation A Aguinaldo, PY Chiang, A Gain, A Patil, K Pearson, S Feizi arXiv preprint arXiv:1902.00159, 2019 | 91 | 2019 |
| An MRAM-based deep in-memory architecture for deep neural networks AD Patil, H Hua, S Gonugondla, M Kang, NR Shanbhag 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 51 | 2019 |
| Shannon-inspired statistical computing for the nanoscale era NR Shanbhag, N Verma, Y Kim, AD Patil, LR Varshney Proceedings of the IEEE 107 (1), 90-107, 2018 | 38 | 2018 |
| A 481pJ/decision 3.4 M decision/s multifunctional deep in-memory inference processor using standard 6T SRAM array M Kang, S Gonugondla, A Patil, N Shanbhag arXiv preprint arXiv:1610.07501, 2016 | 36 | 2016 |
| Minimum precision requirements for the SVM-SGD learning algorithm C Sakr, A Patil, S Zhang, Y Kim, N Shanbhag 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 24 | 2017 |
| Automated detection of choroid boundary and vessels in optical coherence tomography images N Srinath, A Patil, VK Kumar, S Jana, J Chhablani, A Richhariya 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 21 | 2014 |
| Deep in-memory architectures for machine learning–accuracy versus efficiency trade-offs M Kang, Y Kim, AD Patil, NR Shanbhag IEEE Transactions on Circuits and Systems I: Regular Papers 67 (5), 1627-1639, 2020 | 19 | 2020 |
| Shannon-inspired statistical computing to enable spintronics AD Patil, S Manipatruni, D Nikonov, IA Young, NR Shanbhag arXiv preprint arXiv:1702.06119, 2017 | 18 | 2017 |
| Swipe: Enhancing robustness of reram crossbars for in-memory computing SK Gonugondla, AD Patil, NR Shanbhag Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 11 | 2020 |
| Semi-automated quantification of retinal IS/OS damage in en-face OCT image VS Gattani, KK Vupparaboina, A Patil, J Chhablani, A Richhariya, S Jana Computers in biology and medicine 69, 52-60, 2016 | 10 | 2016 |
| Fundamental limits on the computational accuracy of resistive crossbar-based in-memory architectures SK Roy, A Patil, NR Shanbhag 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 384-388, 2022 | 6 | 2022 |
| Understanding the energy and precision requirements for online learning C Sakr, A Patil, S Zhang, Y Kim, N Shanbhag arXiv preprint arXiv:1607.00669, 2016 | 6 | 2016 |
| Studying early decision making with progressive bar charts A Patil, G Richer, C Jermaine, D Moritz, JD Fekete IEEE Transactions on Visualization and Computer Graphics 29 (1), 407-417, 2022 | 4 | 2022 |
| Error-resilient spintronics via the Shannon-inspired model of computation AD Patil, S Manipatruni, DE Nikonov, IA Young, NR Shanbhag IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019 | 3 | 2019 |
| Individualized performance quantification of power wheelchair driving TD Yang, A Patil, YK Jan of the 35th Annual RESNA Conference, Indianopolis, IN, 2014 | 3 | 2014 |
| Analysis of error resiliency of belief propagation in computer vision J Choi, AD Patil, RA Rutenbar, NR Shanbhag 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 2 | 2016 |
| A systems approach to computing in beyond CMOS fabrics A Patil, N Shanbhag, L Varshney, E Pop, HSP Wong, S Mitra, J Rabaey, ... Proceedings of the 54th Annual Design Automation Conference 2017, 1-2, 2017 | 1 | 2017 |
| IFRS Impact on Profitability and Liquidity Parameters for the Indian IT Sector-Case Study Approach A Patil, P Kenjale, A Kanade International Conference on" Emerging Trends in Applied Finance and Business …, 2017 | 1 | 2017 |
| An analysis of Satyam case using bankruptcy and fraud detection models R Yadav, A Patil, R Sengupta SocioEconomic Challenges 7 (4), 24-35, 2023 | | 2023 |
