·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Retrieval Augmented Generation Compositionality5h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents5h◆TNODEV: Toolbox for Neural ODE Verification5h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding5h◆On the Expressive Power and Limitations of Multi-Layer SSMs5h◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale5h◆Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression5h◆A Generalisation Signal Need Not Be a Model-Selection Signal5h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering5h◆EgoHand: Monocular 3D Hand Reconstruction from Egocentric Video5h◆Learning to Incentivise: Using Reinforcement Learning for Sustainable Urban Mobility5h◆ChemBART: Pre-training a Reaction Language Model for Comprehensive Synthesis Planning5h◆Kernel-Managed Shared Memory for System-Wide Personalization5h◆Uber rival inDrive eyes 2027 robotaxi tests in Central Asia with Pony.ai and Nvidia5h◆Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?5h◆AnnoCaseLaw: Legal Annotation Benchmark of Civil Negligence5h◆Improved Training of Strong Stochastic Flow Maps5h◆Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation5h◆HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second5h◆Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection5h◆Retrieval Augmented Generation Compositionality5h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents5h◆TNODEV: Toolbox for Neural ODE Verification5h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding5h◆On the Expressive Power and Limitations of Multi-Layer SSMs5h◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale5h◆Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression5h◆A Generalisation Signal Need Not Be a Model-Selection Signal5h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering5h◆EgoHand: Monocular 3D Hand Reconstruction from Egocentric Video5h◆Learning to Incentivise: Using Reinforcement Learning for Sustainable Urban Mobility5h◆ChemBART: Pre-training a Reaction Language Model for Comprehensive Synthesis Planning5h◆Kernel-Managed Shared Memory for System-Wide Personalization5h◆Uber rival inDrive eyes 2027 robotaxi tests in Central Asia with Pony.ai and Nvidia5h◆Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?5h◆AnnoCaseLaw: Legal Annotation Benchmark of Civil Negligence5h◆Improved Training of Strong Stochastic Flow Maps5h◆Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation5h◆HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second5h◆Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection5h◆
News/Random Initialization as a Baseline for Time Series Foundation Models
arxiv
PublishedOctober 23, 2026 at 4:00 AM

Random Initialization as a Baseline for Time Series Foundation Models

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2610.30950v1 Announce Type: new Abstract: Time series foundation models (TSFMs) use self-supervised pretraining to learn reusable representations for downstream tasks such as multivariate time series classification (MTSC). We examine how much pretrained weights contribute beyond the architectu

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivRetrieval Augmented Generation Compositionality5harxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents5harxivTNODEV: Toolbox for Neural ODE Verification5harxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding5h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews