Gabriel Peyré
43 papers · 2014–2025 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Gabriel Peyré?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Pierre Ablin, Mathieu Blondel, Michael Eli Sander
12 papers
· 2019–2025
· ICML, AISTATS, NeurIPS
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Towards Understanding the Universality of Transformers for Next-Token Prediction
ICLR 2025
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
AISTATS 2024
How Smooth Is Attention?
ICML 2024
How do Transformers Perform In-Context Autoregressive Learning ?
ICML 2024
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
NeurIPS 2022
Fast and accurate optimization on the orthogonal manifold without retraction
AISTATS 2022
Sinkformers: Transformers with Doubly Stochastic Attention
AISTATS 2022
Momentum Residual Neural Networks
ICML 2021
Online Sinkhorn: Optimal Transport distances from sample streams
NeurIPS 2020
Super-efficiency of automatic differentiation for functions defined as a minimum
ICML 2020
Geometric Losses for Distributional Learning
ICML 2019