·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Canva’s first AI image model plans designs before generating them15m◆Designing an AI serving harness built to last49m◆Meta’s AI could still scrape news sites, legal experts say1h◆Meta turns Muse sharing back on1h◆Sure, let’s smoosh SpaceX and Tesla together, who cares2h◆1Password launches a way for AI agents to log in on your behalf without seeing your password2h◆Canva releases its first image generation model3h◆Build more responsive apps with the Decisions API3h◆OpenAI makes its Jev competitor widely available as decision model competition heats up3h◆Discord now formats Markdown previews right3h◆The Foundations of Scalable AI3h◆Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’3h◆In Meta’s version of the future, I’ll have my Muse call your Muse3h◆Microsoft says its AI tool is better than doctors at diagnosing conditions4h◆Someone hacked the Switch 2 by using an old game and AI4h◆Chinese hackers spied on thousands of companies after breaching IT giant ConnectWise5h◆Wildwood’s director says AI is ‘antithetical to everything that we are at this studio’5h◆OlmoEarth v1.3: State-of-the-art embeddings for the whole planet5h◆Uber puts all 30,000 employees on ChatGPT Work6h◆OpenAI, Anthropic, and Nvidia had record lobbying quarters6h◆Canva’s first AI image model plans designs before generating them15m◆Designing an AI serving harness built to last49m◆Meta’s AI could still scrape news sites, legal experts say1h◆Meta turns Muse sharing back on1h◆Sure, let’s smoosh SpaceX and Tesla together, who cares2h◆1Password launches a way for AI agents to log in on your behalf without seeing your password2h◆Canva releases its first image generation model3h◆Build more responsive apps with the Decisions API3h◆OpenAI makes its Jev competitor widely available as decision model competition heats up3h◆Discord now formats Markdown previews right3h◆The Foundations of Scalable AI3h◆Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’3h◆In Meta’s version of the future, I’ll have my Muse call your Muse3h◆Microsoft says its AI tool is better than doctors at diagnosing conditions4h◆Someone hacked the Switch 2 by using an old game and AI4h◆Chinese hackers spied on thousands of companies after breaching IT giant ConnectWise5h◆Wildwood’s director says AI is ‘antithetical to everything that we are at this studio’5h◆OlmoEarth v1.3: State-of-the-art embeddings for the whole planet5h◆Uber puts all 30,000 employees on ChatGPT Work6h◆OpenAI, Anthropic, and Nvidia had record lobbying quarters6h◆
News/Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs
arxiv
PublishedJuly 27, 2026 at 4:00 AM
▲bullish

Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs

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

arXiv:2505.00473v2 Announce Type: replace Abstract: We explore the promising performance of a transformer model in predicting outputs of parametric dynamical systems with external time-varying input signals. The outputs of such systems vary not only with physical parameters but also with external ti

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
Mentioned models
02
  • 01
    Temporal Fusion Transformer (TFT)
  • 02
    Spatially-Enhanced Temporal Fusion Transformer (SE-TFT)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#transformer#dynamical-systems#prediction

No replies yet. Be first.

Mentioned models
02
  • 01
    Temporal Fusion Transformer (TFT)
  • 02
    Spatially-Enhanced Temporal Fusion Transformer (SE-TFT)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#transformer#dynamical-systems#prediction
The Bubble Brief
MON · WED · FRI

Read machine-learning 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