Mahdi Nikdan

According to our database, Mahdi Nikdan authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling.

Alireza Dadgarnia, Soroush Tabesh, Mahdi Nikdan, Michael A. Helcig, Eldar Kurtic, Dan Alistarh

CoRR, April, 2026

ECO: Quantized Training without Full-Precision Master Weights.

Mahdi Nikdan, Amir Zandieh, Dan Alistarh, Vahab Mirrokni

CoRR, January, 2026

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

CoRR, May, 2025

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations.

Andrei Panferov, Jiale Chen, Soroush Tabesh, Roberto L. Castro, Mahdi Nikdan, Dan Alistarh

CoRR, February, 2025

HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs.

Saleh Ashkboos, Mahdi Nikdan, Soroush Tabesh, Roberto L. Castro, Torsten Hoefler, Dan Alistarh

CoRR, January, 2025

Efficient Data Selection at Scale via Influence Distillation.

Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh, Vahab Mirrokni

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs.

Saleh Ashkboos, Mahdi Nikdan, Rush Tabesh, Roberto L. Castro, Torsten Hoefler, Dan Alistarh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations.

Andrei Panferov, Jiale Chen, Soroush Tabesh, Mahdi Nikdan, Dan Alistarh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation.

Mahdi Nikdan, Soroush Tabesh, Dan Alistarh

CoRR, 2024

RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation.

Mahdi Nikdan, Soroush Tabesh, Elvir Crncevic, Dan Alistarh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks.

Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh

CoRR, 2023

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.

Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh

Proceedings of the International Conference on Machine Learning, 2023

2021

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