Samy Jelassi - RankMe

46 papers A* 14Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models. CoRR Samy Jelassi, Mujin Kwun, Rosie Zhao, Yuanzhi Li, Nicolò Fusi, Yilun Du, Sham M. Kakade, Carles Domingo-Enrich
2025	J	`jnl`	Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining. CoRR Rosie Zhao, Alexandru Meterez, Sham M. Kakade, Cengiz Pehlevan, Samy Jelassi, Eran Malach
2025	J	`jnl`	Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones. CoRR Parsa Mirtaheri, Ezra Edelman, Samy Jelassi, Eran Malach, Enric Boix-Adserà
2025	J	`jnl`	Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs. CoRR Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Devvrit Khatri, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Sanjay Kale, Samy Jelassi
2025	—	`conf`	LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. COLING (Industry) Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2025	A*	`conf`	Mixture of Parrots: Experts improve memorization more than reasoning. ICLR Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach
2025	A*	`conf`	The Role of Sparsity for Length Generalization in LLMs. ICML Noah Golowich, Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach
2025	J	`jnl`	The Role of Sparsity for Length Generalization in Transformers. CoRR Noah Golowich, Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach
2025	J	`jnl`	To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning. CoRR Tian Qin, David Alvarez-Melis, Samy Jelassi, Eran Malach
2025	A*	`conf`	Universal Length Generalization with Turing Programs. ICML Kaiying Hou, David Brandfonbrener, Sham M. Kakade, Samy Jelassi, Eran Malach
2024	J	`jnl`	Collective Model Intelligence Requires Compatible Specialization. CoRR Jyothish Pari, Samy Jelassi, Pulkit Agrawal
2024	J	`jnl`	How Does Overparameterization Affect Features? CoRR Ahmet Cagri Duzgun, Samy Jelassi, Yuanzhi Li
2024	J	`jnl`	LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. CoRR Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2024	J	`jnl`	Mixture of Parrots: Experts improve memorization more than reasoning. CoRR Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach
2024	A*	`conf`	Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. ICML Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener
2024	J	`jnl`	Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. CoRR Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener
2024	A*	`conf`	Repeat After Me: Transformers are Better than State Space Models at Copying. ICML Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach
2024	J	`jnl`	Repeat After Me: Transformers are Better than State Space Models at Copying. CoRR Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach
2024	J	`jnl`	Universal Length Generalization with Turing Programs. CoRR Kaiying Hou, David Brandfonbrener, Sham M. Kakade, Samy Jelassi, Eran Malach
2023	—	`—`	Algorithmic and architectural implicit biases in deep learning Samy Jelassi
2023	J	`jnl`	Depth Dependence of μP Learning Rates in ReLU MLPs. CoRR Samy Jelassi, Boris Hanin, Ziwei Ji, Sashank J. Reddi, Srinadh Bhojanapalli, Sanjiv Kumar
2023	J	`jnl`	Length Generalization in Arithmetic Transformers. CoRR Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton
2022	J	`jnl`	A Momentumized, Adaptive, Dual Averaged Gradient Method. J. Mach. Learn. Res. Aaron Defazio, Samy Jelassi
2022	J	`jnl`	Depth separation beyond radial functions. J. Mach. Learn. Res. Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna
2022	J	`jnl`	Dissecting adaptive methods in GANs. CoRR Samy Jelassi, David Dobre, Arthur Mensch, Yuanzhi Li, Gauthier Gidel
2022	A*	`conf`	Towards understanding how momentum improves generalization in deep learning. ICML Samy Jelassi, Yuanzhi Li
2022	J	`jnl`	Towards understanding how momentum improves generalization in deep learning. CoRR Samy Jelassi, Yuanzhi Li
2022	A*	`conf`	Vision Transformers provably learn spatial structure. NeurIPS Samy Jelassi, Michael E. Sander, Yuanzhi Li
2022	J	`jnl`	Vision Transformers provably learn spatial structure. CoRR Samy Jelassi, Michael E. Sander, Yuanzhi Li
2021	A*	`conf`	A Permutation-Equivariant Neural Network Architecture For Auction Design. AAAI Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg
2021	J	`jnl`	Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization. CoRR Aaron Defazio, Samy Jelassi
2021	A*	`conf`	Auction Learning as a Two-Player Game. ICLR Jad Rahme, Samy Jelassi, S. Matthew Weinberg
2021	J	`jnl`	Depth separation beyond radial functions. CoRR Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna
2020	J	`jnl`	A Permutation-Equivariant Neural Network Architecture For Auction Design. CoRR Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg
2020	A*	`conf`	A mean-field analysis of two-player zero-sum games. NeurIPS Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
2020	J	`jnl`	A mean-field analysis of two-player zero-sum games. CoRR Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
2020	J	`jnl`	Auction learning as a two-player game. CoRR Jad Rahme, Samy Jelassi, S. Matthew Weinberg
2020	J	`jnl`	Dual Averaging is Surprisingly Effective for Deep Learning Optimization. CoRR Samy Jelassi, Aaron Defazio
2020	A*	`conf`	Extra-gradient with player sampling for faster convergence in n-player games. ICML Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
2019	J	`jnl`	Extra-gradient with player sampling for provable fast convergence in n-player games. CoRR Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
2019	J	`jnl`	Global convergence of neuron birth-death dynamics. CoRR Grant M. Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden
2019	A*	`conf`	Neuron birth-death dynamics accelerates gradient descent and converges asymptotically. ICML Grant M. Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden
2019	A*	`conf`	Towards closing the gap between the theory and practice of SVRG. NeurIPS Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis R. Bach, Robert M. Gower
2019	J	`jnl`	Towards closing the gap between the theory and practice of SVRG. CoRR Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis R. Bach, Robert M. Gower
2018	A*	`conf`	Smoothed analysis of the low-rank approach for smooth semidefinite programs. NeurIPS Thomas Pumir, Samy Jelassi, Nicolas Boumal
2018	J	`jnl`	Smoothed analysis of the low-rank approach for smooth semidefinite programs. CoRR Thomas Pumir, Samy Jelassi, Nicolas Boumal