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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.

YearVenueTitleAuthors
2025PPoPPMARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models.Elias Frantar, Roberto L. Castro, Jiale Chen, Torsten Hoefler, Dan Alistarh
2024EMNLPQUIK: 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
2024ICLRSpQR: 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
2024ICLRScaling Laws for Sparsely-Connected Foundation Models.Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci
2024ICMLExtreme Compression of Large Language Models via Additive Quantization.Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh
2024ICMLSPADE: Sparsity-Guided Debugging for Deep Neural Networks.Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar, Dan Alistarh
2024ICMLError Feedback Can Accurately Compress Preconditioners.Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Elias Frantar, Dan Alistarh
2023ICLROPTQ: Accurate Quantization for Generative Pre-trained Transformers.Elias Frantar, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh
2023ICMLSparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot.Elias Frantar, Dan Alistarh
2022EMNLPThe 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
2022ICMLSPDY: Accurate Pruning with Speedup Guarantees.Elias Frantar, Dan Alistarh
2020ICMLOn the Sample Complexity of Adversarial Multi-Source PAC Learning.Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph Lampert