Noam Razin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Linear Quadratic

Tensor Factorization

Top Venues

Publications

Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. CoRR (2024)
Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
Vanishing Gradients in Reinforcement Finetuning of Language Models. ICLR (2024)
Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran
What Algorithms can Transformers Learn? A Study in Length Generalization. ICLR (2024)
Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
Vanishing Gradients in Reinforcement Finetuning of Language Models. CoRR (2023)
Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. CoRR (2023)
Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Josh M. Susskind, Samy Bengio, Preetum Nakkiran
What Algorithms can Transformers Learn? A Study in Length Generalization. CoRR (2023)
Noam Razin, Tom Verbin, Nadav Cohen
On the Ability of Graph Neural Networks to Model Interactions Between Vertices. NeurIPS (2023)
Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. NeurIPS (2023)
Noam Razin, Asaf Maman, Nadav Cohen
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. CoRR (2022)
Noam Razin, Tom Verbin, Nadav Cohen
On the Ability of Graph Neural Networks to Model Interactions Between Vertices. CoRR (2022)
Noam Razin, Asaf Maman, Nadav Cohen
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. ICML (2022)
Noam Razin, Asaf Maman, Nadav Cohen
Implicit Regularization in Tensor Factorization. CoRR (2021)
Noam Razin, Asaf Maman, Nadav Cohen
Implicit Regularization in Tensor Factorization. ICML (2021)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
Optimizing BERT for Unlabeled Text-Based Items Similarity. EMNLP (Findings) (2020)
Noam Razin, Nadav Cohen
Implicit Regularization in Deep Learning May Not Be Explainable by Norms. NeurIPS (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. AAAI (2020)
Noam Razin, Nadav Cohen
Implicit Regularization in Deep Learning May Not Be Explainable by Norms. CoRR (2020)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
RecoBERT: A Catalog Language Model for Text-Based Recommendations. CoRR (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. CoRR (2019)