·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation10m◆Counterfactual Model Testing Under Distribution Shift10m◆Centralized Critics for N-Agent Ad Hoc Teamwork10m◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning10m◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction10m◆Numina Fuse: Interactive Autoformalization in Lean 410m◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy10m◆Video World Models Need Predictable Latents10m◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator10m◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models10m◆Latent Goal Prediction from Language for Model-Based Planning10m◆Rectified Language Flow10m◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment10m◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila10m◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights10m◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training10m◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks10m◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training10m◆Unbiased Alignment for Large Language Models with Noisy Preferences10m◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration10m◆MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation10m◆Counterfactual Model Testing Under Distribution Shift10m◆Centralized Critics for N-Agent Ad Hoc Teamwork10m◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning10m◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction10m◆Numina Fuse: Interactive Autoformalization in Lean 410m◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy10m◆Video World Models Need Predictable Latents10m◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator10m◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models10m◆Latent Goal Prediction from Language for Model-Based Planning10m◆Rectified Language Flow10m◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment10m◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila10m◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights10m◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training10m◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks10m◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training10m◆Unbiased Alignment for Large Language Models with Noisy Preferences10m◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration10m◆
News/The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform
arxiv
PublishedApril 18, 2026 at 4:00 AM
—neutral

The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform

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

arXiv:2604.13315v2 Announce Type: replace-cross Abstract: High-resolution data in spatial and temporal contexts is imperative for developing climate resilient cities. Current datasets for monitoring urban parameters are developed primarily using manual inspections, embedded-sensing, remote sensing,

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 →
Tags
04
#dataset#computer-vision#urban-planning#remote-sensing

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#dataset#computer-vision#urban-planning#remote-sensing

Related coverage

More from ARXIV
arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation10marxivCounterfactual Model Testing Under Distribution Shift10marxivCentralized Critics for N-Agent Ad Hoc Teamwork10marxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning10m
The Bubble Brief
MON · WED · FRI

Read dataset 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