Nikdan, Mahdi

8 publications

ICLRW 2025 Cheap and Effective Personalization of Foundation Language Models for Imitating a User's Writing Style Armand Mihai Nicolicioiu, Eugenia Iofinova, Andrej Jovanovic, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir N Shavit, Dan Alistarh

NeurIPS 2025 Efficient Data Selection at Scale via Influence Distillation Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh, Vahab Mirrokni

NeurIPS 2025 HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs Saleh Ashkboos, Mahdi Nikdan, Soroush Tabesh, Roberto L. Castro, Torsten Hoefler, Dan Alistarh

ICML 2025 QuEST: Stable Training of LLMs with 1-Bit Weights and Activations Andrei Panferov, Jiale Chen, Soroush Tabesh, Mahdi Nikdan, Dan Alistarh

ICLRW 2025 QuEST: Training Accurate LLMs over Highly-Compressed Weights and Activation Andrei Panferov, Jiale Chen, Soroush Tabesh, Roberto L. Castro, Mahdi Nikdan, Dan Alistarh

NeurIPS 2025 Quartet: Native FP4 Training Can Be Optimal for Large Language Models Roberto L. Castro, Andrei Panferov, Soroush Tabesh, Oliver Sieberling, Jiale Chen, Mahdi Nikdan, Saleh Ashkboos, Dan Alistarh

ICML 2024 RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation Mahdi Nikdan, Soroush Tabesh, Elvir Crnčević, Dan Alistarh

ICML 2023 SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh