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Noam Razin

Computer Science PhD Candidate

Tel Aviv University

 

I’m a PhD candidate in the School of Computer Science at Tel Aviv University, fortunate to be advised by Nadav Cohen.

My research interests broadly include the theoretical foundations and applications of machine learning. More specifically, I focus on mathematically analyzing aspects of deep learning (such as expressiveness, optimization, and generalization), with the goal of establishing theoretically backed practices.

My research is generously supported by the Apple Scholars in AI/ML and the Tel Aviv University Center for AI & Data Science PhD fellowships.

Email: noamrazin (at) mail.tau.ac.il

🗞 News

📄 Publications

* denotes equal contribution.

On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Implicit Regularization in Tensor Factorization
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
RecoBERT: A Catalog Language Model for Text-Based Recommendations
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding

💬 Selected Talks

  • Generalization in Deep Learning Through the Lens of Implicit Rank Lowering
    ICTP Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference, June 2022
    Video Slides

  • Generalization in Deep Learning Through the Lens of Implicit Rank Lowering
    MPI MiS + UCLA Math Machine Learning Seminar, May 2022
    Slides

  • Implicit Regularization in Tensor Factorization
    The Hebrew University Machine Learning Club, Jerusalem, Israel, June 2021
    Video Slides

  • Implicit Regularization in Deep Learning May Not Be Explainable by Norms
    Tel Aviv University Machine Learning Seminar, Tel Aviv, Israel, May 2020
    Slides

👨‍🏫 Teaching

  • Teaching Assistant for Foundations of Deep Learning (course #0368-3080), Tel Aviv University, 2021 to present