ML Anthology

Razin, Noam

16 publications

NeurIPS 2025 The Implicit Bias of Structured State Space Models Can Be Poisoned with Clean Labels Yonatan Slutzky, Yotam Alexander, Noam Razin, Nadav Cohen
ICLR 2025 Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin
NeurIPS 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
ICML 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
NeurIPSW 2024 Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin
NeurIPSW 2024 Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin
ICLR 2024 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
NeurIPS 2023 On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin, Tom Verbin, Nadav Cohen
ICMLW 2023 On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin, Tom Verbin, Nadav Cohen
NeurIPSW 2023 What Algorithms Can Transformers Learn? a Study in Length Generalization Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua Susskind, Samy Bengio, Preetum Nakkiran
NeurIPS 2023 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
ICML 2022 Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks Noam Razin, Asaf Maman, Nadav Cohen
ICML 2021 Implicit Regularization in Tensor Factorization Noam Razin, Asaf Maman, Nadav Cohen
NeurIPS 2020 Implicit Regularization in Deep Learning May Not Be Explainable by Norms Noam Razin, Nadav Cohen
AAAI 2020 Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein