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Brucek Khailany
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Publications
- 2025
- [i27]Reena Elangovan, Charbel Sakr, Anand Raghunathan, Brucek Khailany:
BCQ: Block Clustered Quantization for 4-bit (W4A4) LLM Inference. CoRR abs/2502.05376 (2025) - [i24]Coleman Hooper, Charbel Sakr, Ben Keller, Rangharajan Venkatesan, Kurt Keutzer, Yakun Sophia Shao, Brucek Khailany:
FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference. CoRR abs/2504.14152 (2025) - [i22]Felix Abecassis, Anjulie Agrusa, Dong Ahn, Jonah Alben, Stefania Alborghetti, Michael Andersch, Sivakumar Arayandi, Alexis Bjorlin, Aaron Blakeman, Evan Briones, Ian Buck, Bryan Catanzaro, Jinhang Choi, Mike Chrzanowski, Eric Chung, Victor Cui, Steve Dai, Bita Darvish Rouhani, Carlo del Mundo, Deena Donia, Sukru Burc Eryilmaz, Henry Estela, Abhinav Goel, Oleg Goncharov, Yugi Guvvala, Robert Hesse, Russell Hewett, Herbert Hum, Ujval J. Kapasi, Brucek Khailany, Mikail Khona, Nick Knight, Alex Kondratenko, Ronny Krashinsky, Ben Lanir, Simon Layton, Michael Lightstone, Daniel Lo, Paulius Micikevicius, Asit K. Mishra, Tim Moon, Deepak Narayanan, Chao Ni, Abhijit Paithankar, Satish Pasumarthi, Ankit Patel, Mostofa Patwary, Ashwin Poojary, Gargi Prasad, Sweta Priyadarshi, Yigong Qin, Xiaowei Ren, Oleg Rybakov, Charbel Sakr, Sanjeev Satheesh, Stas Sergienko, Pavel Shamis, Kirthi Shankar, Nishant Sharma, Mohammad Shoeybi, Michael Siu, Misha Smelyanskiy, Darko Stosic, Dusan Stosic, Bor-Yiing Su, Frank Sun, Nima Tajbakhsh, Shelby Thomas, Przemek Tredak, Evgeny Tsykunov, Gandhi Vaithilingam, Aditya Vavre, Rangharajan Venkatesan, Roger Waleffe, Qiyu Wan, Hexin Wang, Mengdi Wang, Lizzie Wei, Hao Wu, Evan Wu, Keith Wyss, Ning Xu, Jinze Xue, Charlene Yang, Yujia Zhai, Ruoxi Zhang, Jingyang Zhu, Zhongbo Zhu:
Pretraining Large Language Models with NVFP4. CoRR abs/2509.25149 (2025) - [i21]Akshat Ramachandran, Marina Neseem, Charbel Sakr, Rangharajan Venkatesan, Brucek Khailany, Tushar Krishna:
ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models. CoRR abs/2510.01290 (2025) - 2024
- [c59]Charbel Sakr, Brucek Khailany:
ESPACE: Dimensionality Reduction of Activations for Model Compression. NeurIPS 2024 - [i18]Charbel Sakr, Brucek Khailany:
ESPACE: Dimensionality Reduction of Activations for Model Compression. CoRR abs/2410.05437 (2024) - 2023
- [j12]Ben Keller
, Rangharajan Venkatesan, Steve Dai
A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm. IEEE J. Solid State Circuits 58(4): 1129-1141 (2023) - 2022
- [c47]Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, William J. Dally, Brucek Khailany:
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training. ICML 2022: 19123-19138 - [i13]Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, William J. Dally, Brucek Khailany:
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training. CoRR abs/2206.06501 (2022)
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last updated on 2025-11-09 23:22 CET by the dblp team
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