Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Paper • 2406.10327 • Published Jun 14, 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Paper • 2407.11676 • Published Jul 16, 2024
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification Paper • 2502.15637 • Published 26 days ago • 3
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Paper • 2502.15425 • Published 26 days ago • 8
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Paper • 2502.15425 • Published 26 days ago • 8
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Paper • 2502.15425 • Published 26 days ago • 8
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Paper • 2402.10198 • Published Feb 15, 2024 • 1
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level Paper • 2411.03562 • Published Nov 5, 2024 • 66
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting Paper • 2502.10235 • Published Feb 14 • 8
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space Paper • 2111.01919 • Published Nov 2, 2021
Learning in Sparse Rewards settings through Quality-Diversity algorithms Paper • 2203.01027 • Published Mar 2, 2022
Unsupervised Learning and Exploration of Reachable Outcome Space Paper • 1909.05508 • Published Sep 12, 2019