Samy Jelassi
17 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
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Academic Marathon
(7)
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(17)
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Conferences
ICML (7)
NIPS (4)
ICLR (2)
JMLR (2)
AAAI (1)
COLING (1)
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Keywords
neural network
(3)
gradient descent
(2)
convolutional neural network
(2)
stochastic gradient descent
(2)
nash equilibrium
(2)
variance reduction
(2)
feature learning
(1)
vision transformer
(1)
stochastic gradient
(1)
transfer learning
(1)
game theory
(1)
matrix factorization
(1)
gradient-based optimization
(1)
attention mechanism
(1)
semidefinite programming
(1)
mean field theory
(1)
deep learning
(1)
permutation equivariance
(1)
mechanism design
(1)
binary classification
(1)
Papers
The Role of Sparsity for Length Generalization in LLMs
ICML 2025
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
COLING 2025
Mixture of Parrots: Experts improve memorization more than reasoning
ICLR 2025
Universal Length Generalization with Turing Programs
ICML 2025
Repeat After Me: Transformers are Better than State Space Models at Copying
ICML 2024
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
ICML 2024
Towards understanding how momentum improves generalization in deep learning
ICML 2022
Depth separation beyond radial functions
JMLR 2022
A Momentumized, Adaptive, Dual Averaged Gradient Method
JMLR 2022
Vision Transformers provably learn spatial structure
NIPS 2022
A Permutation-Equivariant Neural Network Architecture For Auction Design
AAAI 2021
Auction Learning as a Two-Player Game
ICLR 2021
A mean-field analysis of two-player zero-sum games
NIPS 2020
Extra-gradient with player sampling for faster convergence in n-player games
ICML 2020
Neuron birth-death dynamics accelerates gradient descent and converges asymptotically
ICML 2019
Towards closing the gap between the theory and practice of SVRG
NIPS 2019
Smoothed analysis of the low-rank approach for smooth semidefinite programs
NIPS 2018