Least Squares for Time Series Forecasting

arXiv:2610.03812 · cs.LG, cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• Diffusion for World Modeling: Visual Details Matter in Atari
• Chronos: Learning the Language of Time Series
• Masked Siamese Networks for Label-Efficient Learning
• LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
• VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
• Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
• Genie: Generative Interactive Environments
• Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
• LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning
• Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
• Unsupervised Visual Representation Learning by Context Prediction
• SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
• TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
• Time-Series Representation Learning via Temporal and Contextual Contrasting
• Infinite Worlds with Versatile Interactions
• Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy
• MOMENT: A Family of Open Time-series Foundation Models
• World Models
• Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
• Learning Latent Dynamics for Planning from Pixels

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