Evgenii Zheltonozhskii

Technion – Israel Institute of Technology.

prof_pic.jpg

Lidow Complex, room 455

Technion

Haifa, 3200003

I’m a Physics Ph.D. student in Technion, advised by Netanel Lindner and supported by Adams fellowship. You can find more details about my experience in short resume or longer academic CV.

Research interests: I’m interested in the condensed matter theory of strongly correlated materials and, in particular, topological phases and topological quantum computing, as well as the application of deep learning and self-supervised learning in physics. Currently, I focus on different aspects of topological quantum computing implementation. This includes experiments related to TQC, such as fractional quantum Hall edges, Kitaev spin liquid, and p+ip superconductors, possible realizations of universal quantum computing in topological systems, and usage of topological system simulations as quantum error-correction codes. I also have a Telegram channel where I post links to research I find interesting.

Previously: I finished CS M.Sc. in Technion, advised by Alex Bronstein, Avi Mendelson, and Chaim Baskin, and studied reduced supervision in computer vision (in particular, self-supervised and semi-supervised learning). I was a research intern in Creative Vision team in Snap Research in Summer 2020, working on 3D reconstruction trained on single 2D views with Olly Woodford and Sergey Tulyakov. Before that, I was part of Rothschild Technion Program for Excellence and received double B.Sc. (CS and Physics+Math, Cum Laude) from Technion. In 2017, I participated in Google Summer of Code under OpenCV organization.

news

May 11, 2023 The paper “StarCoder: may the source be with you!” was released to arxiv! This is result of awesome BigCode collaboration.
Apr 27, 2023 I was selected as one of the eight Adams Fellows for the 2023-2024 academic year.
Mar 30, 2023 My poster “Competition of Dissipative and Andreev Processes in Abelian Quantum Hall-Superconductor Junctions” was awarded 1st place prize at Technion Physics Faculty Research day.

selected publications

  1. End-to-End Referring Video Object Segmentation with Multimodal Transformers
    Adam Botach, Evgenii Zheltonozhskii, and Chaim Baskin
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022
  2. Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
    Evgenii ZheltonozhskiiChaim BaskinAvi MendelsonAlex M. Bronstein, and Or Litany
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2022
  3. Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
    Evgenii ZheltonozhskiiChaim BaskinAlex M. Bronstein, and Avi Mendelson
    Aug 2020