Saleh Ashkboos
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
4
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models. | Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh |
| 2024 | ICLR | SliceGPT: Compress Large Language Models by Deleting Rows and Columns. | Saleh Ashkboos, Maximilian L. Croci, Marcelo Gennari Do Nascimento, Torsten Hoefler, James Hensman |
| 2024 | ICLR | SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression. | Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh |
| 2023 | ICLR | OPTQ: Accurate Quantization for Generative Pre-trained Transformers. | Elias Frantar, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh |
| 2022 | KDD | Motif Prediction with Graph Neural Networks. | Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler |
| 2022 | SC | ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. | Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler |
| 2021 | ICLR | New Bounds For Distributed Mean Estimation and Variance Reduction. | Peter Davies, Vijaykrishna Gurunanthan, Niusha Moshrefi, Saleh Ashkboos, Dan Alistarh |
| 2021 | SC | Flare: flexible in-network allreduce. | Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler |
| 2019 | SC | SparCML: high-performance sparse communication for machine learning. | Cdric Renggli, Saleh Ashkboos, Mehdi Aghagolzadeh, Dan Alistarh, Torsten Hoefler |