Mahdi Nikdan
4 Publications
2026 |
Published |
Conference Poster |
IST-REx-ID: 21857 |
Nicolicioiu, A., Iofinova, E. B., Jovanovic, A., Kurtic, E., Nikdan, M., Panferov, A., … Alistarh, D.-A. (2026). Panza: Investigating the feasibility of fully-local personalized text generation. Third Conference on Parsimony and Learning (Proceedings Track). Tübíngen, Germany: OpenReview.
[Accepted Version]
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2025 |
Published |
Conference Paper |
IST-REx-ID: 22827 |
Ashkboos, S., Nikdan, M., Tabesh, S., Lopez Castro, R., Hoefler, T., & Alistarh, D.-A. (2025). HALO: Hadamard-assisted lower-precision optimization for LLMs. In 39th Conference on Neural Information Processing Systems (Vol. 38, pp. 131755–131780). San Diego, CA, United States: Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-3966
[Preprint]
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18117 |
Nikdan, M., Tabesh, S., Crncevic, E., & Alistarh, D.-A. (2024). RoSA: Accurate parameter-efficient fine-tuning via robust adaptation. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 38187–38206). Vienna, Austria: ML Research Press.
[Preprint]
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14460 |
Nikdan, M., Pegolotti, T., Iofinova, E. B., Kurtic, E., & Alistarh, D.-A. (2023). SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 26215–26227). Honolulu, Hawaii, HI, United States: ML Research Press.
[Preprint]
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| Download Preprint (ext.)
| arXiv
Grants
4 Publications
2026 |
Published |
Conference Poster |
IST-REx-ID: 21857 |
Nicolicioiu, A., Iofinova, E. B., Jovanovic, A., Kurtic, E., Nikdan, M., Panferov, A., … Alistarh, D.-A. (2026). Panza: Investigating the feasibility of fully-local personalized text generation. Third Conference on Parsimony and Learning (Proceedings Track). Tübíngen, Germany: OpenReview.
[Accepted Version]
View
| Files available
| Download Accepted Version (ext.)
2025 |
Published |
Conference Paper |
IST-REx-ID: 22827 |
Ashkboos, S., Nikdan, M., Tabesh, S., Lopez Castro, R., Hoefler, T., & Alistarh, D.-A. (2025). HALO: Hadamard-assisted lower-precision optimization for LLMs. In 39th Conference on Neural Information Processing Systems (Vol. 38, pp. 131755–131780). San Diego, CA, United States: Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-3966
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18117 |
Nikdan, M., Tabesh, S., Crncevic, E., & Alistarh, D.-A. (2024). RoSA: Accurate parameter-efficient fine-tuning via robust adaptation. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 38187–38206). Vienna, Austria: ML Research Press.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14460 |
Nikdan, M., Pegolotti, T., Iofinova, E. B., Kurtic, E., & Alistarh, D.-A. (2023). SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 26215–26227). Honolulu, Hawaii, HI, United States: ML Research Press.
[Preprint]
View
| Download Preprint (ext.)
| arXiv