Saleh Ashkboos Research Assistant at Scalable Parallel Computing Lab Computer Science Department, ETH Zürich. saleh.ashkboos [at] inf [dot] ethz [dot] ch Google Scholar   DBLP   LinkedIn

About

I'm a fourth-year Ph.D. student in the Computer Science Department of ETH Zurich. I am fortunate to be advised by Professor Torsten Hoefler and Professor Dan Alistarh.
My research focuses on accelerating deep neural network training. Also, I'm working on developing systems and algorithms for large scale graph processing. I am also an associated doctoral student of the ETH AI Center.

Before joining ETH, I received my Master's degree in Computer Science from the Sharif University of Technology advised by Professor Amir Daneshgar in 2019.

News

• 2024/09: "QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs " accepted at NeurIPS24. (Github)

• 2024/09: "QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models " accepted at EMNLP24. (Github)

• 2024/04: I will join Apple as a Research Intern.

• 2024/02: I gave an invited talk on "The Art of LLM Compression" at Amazon.

• 2024/01: "SliceGPT" and "SpQR" are accepted at ICLR24.

• 2023/04: I will join Microsoft for a summer internship.

• 2023/01: "GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers" accepted at ICLR23.

• 2022/11: "ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations " selected as the best paper at SC22.

• 2022/09: "ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts " accepted at Neurips22. (Github)