3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration. - Adeleh Bitarafan; Mahdi Nikdan; Mahdieh Soleymani Baghshah (IEEE J. Biomed. Health Informatics, 2021)

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

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks. - Mahdi Nikdan; Tommaso Pegolotti; Eugenia Iofinova; Eldar Kurtic; Dan Alistarh (CoRR, 2023)

RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation. - Mahdi Nikdan; Soroush Tabesh; Elvir Crncevic; Dan Alistarh (ICML, 2024)

RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation. - Mahdi Nikdan; Soroush Tabesh; Dan Alistarh (CoRR, 2024)

Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. - Armand Nicolicioiu; Eugenia Iofinova; Eldar Kurtic; Mahdi Nikdan; Andrei Panferov; Ilia Markov; Nir Shavit; Dan Alistarh (CoRR, 2024)

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

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations. - Andrei Panferov; Jiale Chen 004; Soroush Tabesh; Roberto L. Castro; Mahdi Nikdan; Dan Alistarh (CoRR, 2025)

Quartet: Native FP4 Training Can Be Optimal for Large Language Models. - Roberto L. Castro; Andrei Panferov; Soroush Tabesh; Oliver Sieberling; Jiale Chen 004; Mahdi Nikdan; Saleh Ashkboos; Dan Alistarh (CoRR, 2025)

Efficient Data Selection at Scale via Influence Distillation. - Mahdi Nikdan; Vincent Cohen-Addad; Dan Alistarh; Vahab Mirrokni (CoRR, 2025)