·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Jensen Huang explains why Nvidia will grow an astounding 70% next year5h◆Mark Wahlberg is coming to TechCrunch Disrupt 2026, and he wants to talk about your work, not his5h◆Slack can now vibe-code interactive charts and reports inside chats5h◆OpenAI puts Pro subscriptions on hold due to Astra demand6h◆Anthropic details distillation campaigns from Alibaba, Moonshot AI, and DeepSeek6h◆Meta’s AI agent Muse is now the No. 2 app in the US7h◆Schools are catching on to Big Tech’s playbook7h◆Anthropic reveals rogue AI agents hate CAPTCHAs, just like you9h◆India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content9h◆3 ways to prep for your next big race with Search11h◆How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules11h◆Universal Music is launching an AI music platform with ElevenLabs11h◆Now everyone can put data to work12h◆Meta’s Muse AI works and creeps me out12h◆AI agents are flooding public services with new requests12h◆Maven Robotics wants to steal your robot deployment deal13h◆Why the current tech backlash feels different13h◆Mathematicians want proof OpenAI didn’t use their work16h◆Powering AI is an architecture problem16h◆Expanding AI access and cyber defense for federal, state, local, and tribal governments20h◆Jensen Huang explains why Nvidia will grow an astounding 70% next year5h◆Mark Wahlberg is coming to TechCrunch Disrupt 2026, and he wants to talk about your work, not his5h◆Slack can now vibe-code interactive charts and reports inside chats5h◆OpenAI puts Pro subscriptions on hold due to Astra demand6h◆Anthropic details distillation campaigns from Alibaba, Moonshot AI, and DeepSeek6h◆Meta’s AI agent Muse is now the No. 2 app in the US7h◆Schools are catching on to Big Tech’s playbook7h◆Anthropic reveals rogue AI agents hate CAPTCHAs, just like you9h◆India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content9h◆3 ways to prep for your next big race with Search11h◆How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules11h◆Universal Music is launching an AI music platform with ElevenLabs11h◆Now everyone can put data to work12h◆Meta’s Muse AI works and creeps me out12h◆AI agents are flooding public services with new requests12h◆Maven Robotics wants to steal your robot deployment deal13h◆Why the current tech backlash feels different13h◆Mathematicians want proof OpenAI didn’t use their work16h◆Powering AI is an architecture problem16h◆Expanding AI access and cyber defense for federal, state, local, and tribal governments20h◆
News/Residual-augmented flow matching operators for probabilistic partial differential equations
arxiv
PublishedSeptember 10, 2026 at 4:00 AM
—neutral

Residual-augmented flow matching operators for probabilistic partial differential equations

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

arXiv:2512.12749v3 Announce Type: replace-cross Abstract: Learning surrogate models for physical systems with latent uncertainty remains challenging in data-scarce regimes: deterministic neural operators fail to characterize uncertainty, while generative approaches require large ensembles of high-fi

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

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

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews