About
I am a postdoctoral associate at NYU's Center for Data Science working with Joan Bruna. Before that I was a Ph.D. student at the Weizmann Institute of Science, where I was very fortunate to be advised by Ohad Shamir. Before that, I did a M.Sc. and B.Sc. in mathematics at Tel Aviv University.
My main research interests are theoretical machine learning, specifically the theory of deep learning, and related questions about the optimization, generalization, and expressivity of neural networks. I also enjoy working on practical questions related to deep learning or optimization which combine theoretical insights. Recently I have been also interested in the theory behind generative models, specifically transformers and self-attention mechanisms,
I interned at Google Israel, where I worked on large-scale optimization problems, and at NVIDIA Research where I worked with Haggai Maron and Gal Chechik on graph neural networks. Before my Ph.D. I worked at Imperva on machine learning problems related to cyber security.
Publications
* = Equal contribution
Amit Daniely, Mariano Schain, Gilad Yehudai
ALT 2024
Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Arxiv Preprint 2023
Odelia Melamed, Gilad Yehudai, Gal Vardi
NeurIPS 2023
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv, Nikankin, Michal Irani
NeurIPS 2023
Guy Kornowski*, Gilad Yehudai*, Ohad Shamir
NeurIPS 2023 (Spotlight)
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani
ICLR 2023 Workshop for Trusted ML
Niv Haim*, Gal Vardi*, Gilad Yehudai*, Ohad Shamir, Michal Irani
NeurIPS 2022 (Oral presentation)
Gal Vardi*, Gilad Yehudai*, Ohad Shamir
NeurIPS 2022
Gal Vardi*, Gilad Yehudai*, Ohad Shamir
COLT 2022
Gal Vardi*, Gilad Yehudai*, Ohad Shamir
ICLR 2022 (spotlight)
Gal Vardi*, Gilad Yehudai*, Ohad Shamir
NeurIPS 2021
Gilad Yehudai, Ethan Fetaya, Eli Meiron, Gal Chechik, Haggai Maron
ICML 2021
Eran Malach*, Gilad Yehudai*, Shai Shalev-Shwartz, Ohad Shamir
COLT 2021
Itay Safran*, Gilad Yehudai*, Ohad Shamir
COLT 2021
Gilad Yehudai, Ohad Shamir
COLT 2020
Eran Malach*, Gilad Yehudai*, Shai Shalev-Shwartz, Ohad Shamir
ICML 2020
Gilad Yehudai, Ohad Shamir
NeurIPS 2019
Teaching
Weizmann Institute of Science:
Topics in Machine Learning, Fall 2021 (TA)
Organized a student seminar about modern topics on deep learning, Fall 2021, 2022
Tel-Aviv University:
Linear Algebra for engineers, Fall 2015, Fall 2016 (TA)
Calculus A for engineers, Spring 2016 (TA)
Awards
2022 - Balvatnik prize commendation
2021 - VATAT fellowship for data science Ph.D. students
2014 - Shefler scholarship given by TEVA
2014 - Excellence program in mathematics for Bs.c. students, given by Tel Aviv university
2013 - Memorial day scholarship given by Tel Aviv University
Patents
Aggregating Alerts of Malicious Events for Computer Security Publication: 2019
Gilad Yehudai, Itsik Mantin, Lior Fisch, Shelly Hershkovitz, Amichai Shulman, Moran Rachel Ambar
Generating Security Rules Based on Collection Rules. Publication: 2020
Nadav Avital Arbel, Luda Lazar, Gilad Yehudai
Miscellaneous
Some blog posts I wrote during my time at Imperva.
A podcast interview about the theory of deep learning (in Hebrew).
I believe it's never too early to start studying machine learning.