Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers Paper • 2506.08641 • Published Jun 10, 2025
CauKer: classification time series foundation models can be pretrained on synthetic data only Paper • 2508.02879 • Published Aug 4, 2025
Layer by layer, module by module: Choose both for optimal OOD probing of ViT Paper • 2603.05280 • Published Mar 5
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Paper • 2502.01384 • Published Feb 3, 2025 • 2
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification Paper • 2502.15637 • Published Feb 21, 2025 • 3
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification Paper • 2502.15637 • Published Feb 21, 2025 • 3
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Paper • 2502.15425 • Published Feb 21, 2025 • 9
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Paper • 2406.10327 • Published Jun 14, 2024
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting Paper • 2502.10235 • Published Feb 14, 2025 • 9
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting Paper • 2502.10235 • Published Feb 14, 2025 • 9