影响力指数

51.76/100

前 7.7%

全站排名 #4,962

发表论文11 篇

平均评分5.1

年均产出3.7 篇/年

Edouard Oyallon

Researcher@CNRS·法国·OpenReview

研究方向

Distributed learning · asynchronous optimization · large scale algorithms · High dimensional statistics · Deep Learning · Signal processing · wavelets · geometry · harmonic analysis

5.0

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

ICML 2025Poster

三作

6.4

ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training

NeurIPS 2025Poster

通讯

5.8

$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers

ICLR 2025Rejected

5.0

ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training

ICLR 2025Rejected

通讯

4.5

WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average

ICLR 2025Rejected

通讯

3.4

In-Context Neural PDE: Learning to Adapt a Neural Solver to Different Physics

合作者 (19)

Edouard Oyallon

$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers

Model Parallelism With Subnetwork Data Parallelism

Test-time Generalization for Physics through Neural Operator Splitting

PETRA: Parallel End-to-end Training with Reversible Architectures

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training

$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers

ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training

WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average

In-Context Neural PDE: Learning to Adapt a Neural Solver to Different Physics