Elias Frantar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | PPoPP | MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. | Elias Frantar, Roberto L. Castro, Jiale Chen, Torsten Hoefler, Dan Alistarh |
| 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 | 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 |
| 2024 | ICLR | Scaling Laws for Sparsely-Connected Foundation Models. | Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci |
| 2024 | ICML | Extreme Compression of Large Language Models via Additive Quantization. | Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh |
| 2024 | ICML | SPADE: Sparsity-Guided Debugging for Deep Neural Networks. | Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar, Dan Alistarh |
| 2024 | ICML | Error Feedback Can Accurately Compress Preconditioners. | Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Elias Frantar, Dan Alistarh |
| 2023 | ICLR | OPTQ: Accurate Quantization for Generative Pre-trained Transformers. | Elias Frantar, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh |
| 2023 | ICML | SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot. | Elias Frantar, Dan Alistarh |
| 2022 | EMNLP | The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. | Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh |
| 2022 | ICML | SPDY: Accurate Pruning with Speedup Guarantees. | Elias Frantar, Dan Alistarh |
| 2020 | ICML | On the Sample Complexity of Adversarial Multi-Source PAC Learning. | Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph Lampert |