Irina Zhelavskaya

According to our database, Irina Zhelavskaya authored at least 13 papers between 2012 and 2024.

Collaborative distances:

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

2024

Towards Robust Full Low-Bit Quantization of Super Resolution Networks.

Denis Makhov, Ruslan Ostapets, Irina Zhelavskaya, Dehua Song, Kirill Solodskikh

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Integral Neural Networks.

Kirill Solodskikh, Azim Kurbanov, Ruslan Aydarkhanov, Irina Zhelavskaya, Yury Parfenov, Dehua Song, Stamatios Lefkimmiatis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Accurate Network Quantization with Equivalent Smooth Regularizer.

Kirill Solodskikh, Vladimir Chikin, Ruslan Aydarkhanov, Dehua Song, Irina Zhelavskaya, Jiansheng Wei

Proceedings of the Computer Vision - ECCV 2022, 2022

Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization.

Vladimir Chikin, Kirill Solodskikh, Irina Zhelavskaya

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

A GNSS-R Geophysical Model Function: Machine Learning for Wind Speed Retrievals.

Milad Asgarimehr, Irina Zhelavskaya, Giuseppe Foti, Sebastian Reich, Jens Wickert

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Evolving Ocean Monitoring With GNSS-R: Promises in Surface Wind Speed and Prospects for Rain Detection.

Milad Asgarimehr, Valery U. Zavorotny, Irina Zhelavskaya, Giuseppe Foti, Jens Wickert, Sebastian Reich

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2014

On Error Probability of Search in High-Dimensional Binary Space with Scalar Neural Network Tree.

Vladimir Kryzhanovsky, Magomed Malsagov, Juan Antonio Clares Tomas, Irina Zhelavskaya

Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

High-Dimensional Binary Pattern Classification by Scalar Neural Network Tree.

Vladimir Kryzhanovsky, Magomed Malsagov, Juan Antonio Clares Tomas, Irina Zhelavskaya

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Image processing for drawing recognition.

Rustem Feyzkhanov, Irina Zhelavskaya

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2014, 2014

Error Probability for Scalar Neural Network Trees in High-Dimensional Binary Space.

Irina Zhelavskaya, Vladimir Kryzhanovsky, Magomed Malsagov

Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies, 2014

2013

Two-Layer Vector Perceptron.

Vladimir Kryzhanovsky, Irina Zhelavskaya, Juan Antonio Clares Tomas

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Vector Perceptron Learning Algorithm Using Linear Programming.

Vladimir Kryzhanovsky, Irina Zhelavskaya, Anatoly B. Fonarev

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Binary Perceptron Learning Algorithm Using Simplex-Method.

Vladimir Kryzhanovsky, Irina Zhelavskaya, Jakov Karandashev

Proceedings of the Artificial Intelligence and Soft Computing, 2012