Naresh Shanbhag
University of Illinois at Urbana-Champaign
H-index: 56
North America-United States
Top articles of Naresh Shanbhag
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Enhancing the Accuracy of 6T SRAM-based In-Memory Architecture via Maximum Likelihood Detection | IEEE Transactions on Signal Processing | Hyungyo Kim Naresh Shanbhag | 2024/4/29 |
Energy-Accuracy Trade-offs for Resistive In-Memory Computing Architectures | IEEE Journal on Exploratory Solid-State Computational Devices and Circuits | Saion K Roy Naresh R Shanbhag | 2024/3/25 |
Boosting the Accuracy of SRAM-Based in-Memory Architectures Via Maximum Likelihood-Based Error Compensation Method | Hyungyo Kim Naresh Shanbhag | 2023/6/4 | |
Prive: Efficient rram programming with chip verification for rram-based in-memory computing acceleration | Wangxin He Jian Meng Sujan Kumar Gonugondla Shimeng Yu Naresh R Shanbhag | 2023/4/17 | |
Compute SNR-boosted 22 nm MRAM-based In-memory Computing Macro using Statistical Error Compensation | Saion K Roy Han-Mo Ou Mostafa G Ahmed Peter Deaville Bonan Zhang | 2023/9/11 | |
On the robustness of randomized ensembles to adversarial perturbations | Hassan Dbouk Naresh Shanbhag | 2023/7/3 | |
Enhancing the Accuracy of Resistive In-Memory Architectures using Adaptive Signal Processing | Han-Mo Ou Naresh R Shanbhag | 2023/6/4 | |
Fundamental limits on the computational accuracy of resistive crossbar-based in-memory architectures | Saion K Roy Ameya Patil Naresh R Shanbhag | 2022/5/27 | |
IMPQ: Reduced Complexity Neural Networks Via Granular Precision Assignment | Sujan Kumar Gonugondla Naresh R Shanbhag | 2022/5/23 | |
Comprehending in-memory computing trends via proper benchmarking | Naresh R Shanbhag Saion K Roy | 2022/4/24 | |
Benchmarking in-memory computing architectures | IEEE Open Journal of the Solid-State Circuits Society | Naresh R Shanbhag Saion K Roy | 2022/12/8 |
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing | arXiv preprint arXiv:2210.08974 | Klara Nahrstedt Naresh Shanbhag Vikram Adve Nancy Amato Romit Roy Choudhury | 2022/10/4 |
Adversarial vulnerability of randomized ensembles | Hassan Dbouk Naresh Shanbhag | 2022/6/28 | |
Fundamental limits on energy-delay-accuracy of in-memory architectures in inference applications | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | Sujan K Gonugondla Charbel Sakr Hassan Dbouk Naresh R Shanbhag | 2021/11/2 |
Optimizing Selective Protection for CNN Resilience. | Abdulrahman Mahmoud Siva Kumar Sastry Hari Christopher W Fletcher Sarita V Adve Charbel Sakr | 2021/10/1 | |
Robustifying Adversarial Training to the Union of Perturbation Models | arXiv preprint arXiv:2105.14710 | Ameya D Patil Michael Tuttle Alexander G Schwing Naresh R Shanbhag | 2021/5/31 |
Generalized depthwise-separable convolutions for adversarially robust and efficient neural networks | Advances in Neural Information Processing Systems | Hassan Dbouk Naresh Shanbhag | 2021/12/6 |
SE1: What Technologies Will Shape the Future of Computing? | Hugh Mair Shinichiro Shiratake Eric Karl Thomas Burd Jonathan Chang | 2021/2/13 | |
Signal processing methods to enhance the energy efficiency of in-memory computing architectures | IEEE Transactions on Signal Processing | Charbel Sakr Naresh R Shanbhag | 2021/11/24 |
Future Prospects | Fabio Sartori Piran Daniel Pacheco Lacerda Luis Felipe Riehs Camargo | 2020/1/8 |
