Irina Novikova

According to our database, Irina Novikova authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Hebb-Inspired Low Rank Adapters for Large Language Models Fine-Tuning.

Alexander Demidovskij, Artyom Tugaryov, Igor Salnikov, Olga Frolova, Aleksei Trutnev, Pengcheng Xie, Irina Novikova, Egor Zharikov, Vasilisa Blyudova, Yuri Ignatiev

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Going Beyond LoRA Fine-Tuning with Hebb Learning: Blazingly Fast and Accurate.

Alexander Demidovskij, Igor Salnikov, Olga Frolova, Aleksei Trutnev, Artyom Tugaryov, Yuri Ignatiev, Vasilisa Blyudova, Egor Zharikov, Irina Novikova

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

On the Influence of Layer Importance on LLM Fine-Tuning Acceleration and Quality.

Alexander Demidovskij, Irina Novikova, Artyom Tugaryov, Vasilisa Blyudova, Olga Frolova, Yuri Ignatiev, Igor Salnikov, Aleksei Trutnev, Egor Zharikov

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2023

Application of kernel principal component analysis for optical vector atomic magnetometry.

James A. McKelvy, Irina Novikova, Eugeniy E. Mikhailov, Mario A. Maldonado, Isaac Fan, Yang Li, Ying-Ju Wang, John Kitching, Andrey Matsko

Mach. Learn. Sci. Technol., December, 2023

On the Development of an Optical Rubidium Vector Atomic Magnetometer.

James A. McKelvy, Irina Novikova, Eugeniy E. Mikhailov, Mario A. Maldonado, Isaac Fan, Yang Li, Ying-Ju Wang, John Kitching, Andrey Matsko

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2019

Identifying Laguerre-Gaussian Modes using Convolutional Neural Network.

Safura Sharifi, Sofia Brown, Irina Novikova, Eugeniy E. Mikhailov, Georgios Veronis, Jonathan Dowling, Yaser Banadaki, Elisha Siddiqui, Savannah Cuzzo, Narayan Bhusal, Lior Cohen, Austin Kalasky, Nik Prajapati, Rachel Soto-Garcia

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019