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Home/Authors/Edouard Oyallon

Edouard Oyallon

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 4:04 AM AMS

7

papers

46

total citations

papers (7)

Guiding The Last Layer in Federated Learning with Pre-Trained Models

NEURIPS 2023arXiv

$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning

NEURIPS 2023arXiv

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

On Non-Linear operators for Geometric Deep Learning

NEURIPS 2022arXiv

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

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

NEURIPS 2025arXiv

Why do tree-based models still outperform deep learning on typical tabular data?