Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. - Oren Barkan; Noam Razin; Itzik Malkiel; Ori Katz; Avi Caciularu; Noam Koenigstein (AAAI, 2020)

Optimizing BERT for Unlabeled Text-Based Items Similarity. - Itzik Malkiel; Oren Barkan; Avi Caciularu; Noam Razin; Ori Katz; Noam Koenigstein (EMNLP (Findings), 2020)

Implicit Regularization in Deep Learning May Not Be Explainable by Norms. - Noam Razin; Nadav Cohen 001 (NeurIPS, 2020)

RecoBERT: A Catalog Language Model for Text-Based Recommendations. - Itzik Malkiel; Oren Barkan; Avi Caciularu; Noam Razin; Ori Katz; Noam Koenigstein (CoRR, 2020)

Implicit Regularization in Tensor Factorization. - Noam Razin; Asaf Maman; Nadav Cohen 001 (ICML, 2021)

Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. - Noam Razin; Asaf Maman; Nadav Cohen 001 (ICML, 2022)

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. - Yotam Alexander; Nimrod De La Vega; Noam Razin; Nadav Cohen 001 (NeurIPS, 2023)

On the Ability of Graph Neural Networks to Model Interactions Between Vertices. - Noam Razin; Tom Verbin; Nadav Cohen 001 (NeurIPS, 2023)

Vanishing Gradients in Reinforcement Finetuning of Language Models. - Noam Razin; Hattie Zhou; Omid Saremi; Vimal Thilak; Arwen Bradley; Preetum Nakkiran; Joshua M. Susskind; Etai Littwin (ICLR, 2024)

What Algorithms can Transformers Learn? A Study in Length Generalization. - Hattie Zhou; Arwen Bradley; Etai Littwin; Noam Razin; Omid Saremi; Joshua M. Susskind; Samy Bengio; Preetum Nakkiran (ICLR, 2024)

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. - Noam Razin; Yotam Alexander; Edo Cohen-Karlik; Raja Giryes; Amir Globerson; Nadav Cohen 001 (ICML, 2024)

Understanding Deep Learning via Notions of Rank. - Noam Razin (CoRR, 2024)

Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning. - Nadav Cohen 001; Noam Razin (CoRR, 2024)

The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels. - Yonatan Slutzky; Yotam Alexander; Noam Razin; Nadav Cohen 001 (CoRR, 2024)

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization. - Noam Razin; Sadhika Malladi; Adithya Bhaskar; Danqi Chen 001; Sanjeev Arora; Boris Hanin (ICLR, 2025)

What Makes a Reward Model a Good Teacher? An Optimization Perspective. - Noam Razin; Zixuan Wang; Hubert Strauss; Stanley Wei; Jason D. Lee; Sanjeev Arora (CoRR, 2025)

Why is Your Language Model a Poor Implicit Reward Model? - Noam Razin; Yong Lin; Jiarui Yao; Sanjeev Arora (CoRR, 2025)