PhD student | Electrical Engineering | Technion
I am a PhD student at the Electrical Engineering department at the Technion, under supervision of Prof. Daniel Soudry.
My research currently focuses on theoretical aspects of Continual Learning.
Feel free to reach out by mail: itay (@) evron.me
Continual Learning in Linear Classification on Separable Data.
Evron, Moroshko, Buzaglo, Khriesh, Marjieh, Srebro, and Soudry. ICML 2023.
The Role of Codeword-to-Class Assignments in Error Correcting Codes: An Empirical Study
Evron, Onn, Weiss, Azeroual, and Soudry. AISTATS 2023.
How catastrophic can catastrophic forgetting be in linear regression?
Evron, Moroshko, Ward, Srebro, and Soudry. COLT 2022.
How do infinite width bounded norm networks look in function space?
Savarese, Evron, Soudry, and Srebro. COLT 2019.
Towards Learning of Filter Level Heterogeneous Compression of Convolutional Neural Networks
Zur, Baskin, Zheltonozhskii, Chmiel, Evron, Bronstein, and Mendelson.
Automated Machine Learning Workshop at ICML 2019.
Efficient Loss Based Decoding on Graphs for Extreme Classification
Evron , Moroshko, and Crammer. NeurIPS 2018.
2020 - Today | Ph.D. in Electrical Engineering | Technion
Studies machine learning under supervision of Prof. Daniel Soudry.
Focused on theoretical aspects of continual learning.
2015 - 2018 | M.Sc. in Computer Science | Technion | Magna cum Lauda
Studied machine learning under supervision of Prof. Koby Crammer.
Focused on extreme classification - multi class tasks with an extremely large number of classes.
2012 - 2015 | B.Sc. in Computer Science | The College of Management | Magna cum Lauda
2018 - 2019 | Research intern | eBay
Developed both NLP and Computer Vision models for real-world problems.
2013 - 2015 | Senior developer | Quali ltd.
Introduction to Machine Learning (current)
Project advisor in Machine Learning (current)
Project advisor in Artificial Intelligence
Introduction to Artificial Intelligence
Introduction to Computer Science