Charbel Sakr
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
1997–2023
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | IROS | VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. | Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi |
| 2022 | ICML | Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training. | Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, William J. Dally, Brucek Khailany |
| 2021 | ISSRE | Optimizing Selective Protection for CNN Resilience. | Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh R. Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler |
| 2020 | ICCAD | Fundamental Limits on the Precision of In-memory Architectures. | Sujan K. Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag |
| 2019 | ICLR | Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm. | Charbel Sakr, Naresh R. Shanbhag |
| 2019 | ICLR | Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. | Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan |
| 2018 | ICASSP | True Gradient-Based Training of Deep Binary Activated Neural Networks Via Continuous Binarization. | Charbel Sakr, Jungwook Choi, Zhuo Wang, Kailash Gopalakrishnan, Naresh R. Shanbhag |
| 2018 | ICASSP | An Analytical Method to Determine Minimum Per-Layer Precision of Deep Neural Networks. | Charbel Sakr, Naresh R. Shanbhag |
| 2017 | ICASSP | Minimum precision requirements for the SVM-SGD learning algorithm. | Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, Naresh R. Shanbhag |
| 2017 | ICML | Analytical Guarantees on Numerical Precision of Deep Neural Networks. | Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag |
| 2017 | ISCAS | PredictiveNet: An energy-efficient convolutional neural network via zero prediction. | Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag |
| 1997 | ICNP | Carrier-sense protocols for packet-switched smart antenna basestations. | Charbel Sakr, Terence D. Todd |