:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Saad, Elie, Mrabah, Aya, Besbes, Mariem, Zolghadri, Marc, Czmil, Victor, Baron, Claude, Bourgeois, Vincent
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2506.21240
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
par: Saad, Elie, et autres
Publié: (2025)

A New Hybrid Approach for Identifying Obsolescence Features: Applied to Railway Signaling Infrastructure
par: Saad, Elie, et autres
Publié: (2024)

Large Language Models Are Zero-Shot Time Series Forecasters
par: Gruver, Nate, et autres
Publié: (2023)

Modeling Heterophily in Multiplex Graphs: An Adaptive Approach for Node Classification
par: Abdous, Kamel, et autres
Publié: (2026)

Pairwise Markov Chains for Volatility Forecasting
par: Azeraf, Elie
Publié: (2024)

A Geometric Perspective for High-Dimensional Multiplex Graphs
par: Abdous, Kamel, et autres
Publié: (2025)

Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
par: Auer, Andreas, et autres
Publié: (2025)

A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions
par: Amar, Mohamed Mahmoud, et autres
Publié: (2026)

Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting
par: Liu, Anxian, et autres
Publié: (2025)

Scalable Deep Subspace Clustering Network
par: Mrabah, Nairouz, et autres
Publié: (2025)

Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
par: Deznabi, Iman, et autres
Publié: (2025)

Zero-Shot Load Forecasting with Large Language Models
par: Liao, Wenlong, et autres
Publié: (2024)

Curriculum Learning for Mesh-based simulations
par: Garnier, Paul, et autres
Publié: (2025)

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
par: Auer, Andreas, et autres
Publié: (2025)

Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks
par: Bhattacharya, Abhiroop, et autres
Publié: (2024)

Few-Shot Inspired Generative Zero-Shot Learning
par: Shohag, Md Shakil Ahamed, et autres
Publié: (2025)

Beyond IID: data-driven decision-making in heterogeneous environments
par: Besbes, Omar, et autres
Publié: (2022)

Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables
par: Potapczynski, Andres, et autres
Publié: (2026)

The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning
par: Baron, Matthew, et autres
Publié: (2025)

From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms
par: Besbes, Omar, et autres
Publié: (2023)

Zero-Shot Forecasting Mortality Rates: A Global Study
par: Petnehazi, Gabor, et autres
Publié: (2025)

On Zero-Shot Reinforcement Learning
par: Jeen, Scott
Publié: (2025)

Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
par: Madarasingha, Chamara, et autres
Publié: (2025)

Fair Active Learning: Solving the Labeling Problem in Insurance
par: Elie, Romuald, et autres
Publié: (2021)

QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting
par: Ma, Shichao, et autres
Publié: (2025)

WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting
par: Fan, Hang, et autres
Publié: (2025)

Zero-Shot Robustification of Zero-Shot Models
par: Adila, Dyah, et autres
Publié: (2023)

FLUE: Federated Learning with Un-Encrypted model weights
par: Atallah, Elie
Publié: (2024)

Leveraging Zero-Shot Prompting for Efficient Language Model Distillation
par: Vöge, Lukas, et autres
Publié: (2024)

MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
par: Chatzigeorgakidis, Georgios, et autres
Publié: (2024)

Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
par: Nochumsohn, Liran, et autres
Publié: (2024)

Zero-Shot Off-Policy Learning
par: Asadulaev, Arip, et autres
Publié: (2026)

Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
par: Auer, Andreas, et autres
Publié: (2025)

Cross-RAG: Zero-Shot Retrieval-Augmented Time Series Forecasting via Cross-Attention
par: Lee, Seunghan, et autres
Publié: (2026)

Tackling the Zero-Shot Reinforcement Learning Loss Directly
par: Ollivier, Yann
Publié: (2025)

A Unified Framework for Zero-Shot Reinforcement Learning
par: Di Ventura, Jacopo, et autres
Publié: (2025)

A Minimalist Prompt for Zero-Shot Policy Learning
par: Song, Meng, et autres
Publié: (2024)

Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models
par: Jetwiriyanon, Jittarin, et autres
Publié: (2025)

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
par: Park, Junwoo, et autres
Publié: (2025)

One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo
par: Shi, Hao-Nan, et autres
Publié: (2025)