·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures5h◆PitchBench: Measuring Pitch Hearing in Audio-Language Models5h◆JobBench: Aligning Agent Work With Human Will5h◆AnchorDiff: Training-Free Concept Grounding for MM-DiTs via Anchor-Based Graph Propagation5h◆GeoFaith: A Spatio-Temporal Dual View of Faithful Chain-of-Thought5h◆To model human linguistic prediction, make LLMs less superhuman5h◆Token-weighted Direct Preference Optimization with Attention5h◆Balancing Plasticity and Stability with Fast and Slow Successor Features5h◆Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization5h◆PHALAR: Phasors for Learned Musical Audio Representations5h◆Yes, Q-learning Helps Offline In-Context RL5h◆Conceptual Steganography5h◆Telenor Nordics Customer Service self-help corpus5h◆Beyond Binary: Speech Representations Across the Cognitive Score Hierarchy5h◆Stylistic Evolution and LLM Neutrality in Singlish Language5h◆BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?5h◆Learning GUI Grounding with Spatial Reasoning from Visual Feedback5h◆SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings5h◆Confounder Detection via Treatment Intent: A New Observational Study Design5h◆LearnedCache: An eBPF-Integrated Perceptron-Based Eviction Policy for the Linux Page Cache5h◆Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures5h◆PitchBench: Measuring Pitch Hearing in Audio-Language Models5h◆JobBench: Aligning Agent Work With Human Will5h◆AnchorDiff: Training-Free Concept Grounding for MM-DiTs via Anchor-Based Graph Propagation5h◆GeoFaith: A Spatio-Temporal Dual View of Faithful Chain-of-Thought5h◆To model human linguistic prediction, make LLMs less superhuman5h◆Token-weighted Direct Preference Optimization with Attention5h◆Balancing Plasticity and Stability with Fast and Slow Successor Features5h◆Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization5h◆PHALAR: Phasors for Learned Musical Audio Representations5h◆Yes, Q-learning Helps Offline In-Context RL5h◆Conceptual Steganography5h◆Telenor Nordics Customer Service self-help corpus5h◆Beyond Binary: Speech Representations Across the Cognitive Score Hierarchy5h◆Stylistic Evolution and LLM Neutrality in Singlish Language5h◆BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?5h◆Learning GUI Grounding with Spatial Reasoning from Visual Feedback5h◆SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings5h◆Confounder Detection via Treatment Intent: A New Observational Study Design5h◆LearnedCache: An eBPF-Integrated Perceptron-Based Eviction Policy for the Linux Page Cache5h◆
News/SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression
arxiv
PublishedMay 22, 2026 at 4:00 AM
—neutral

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression

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

arXiv:2511.04838v2 Announce Type: replace Abstract: Molecular property regression struggles with cases in chemically relevant target ranges that are underrepresented in datasets. Standard average error minimization approaches underperform in these highly relevant cases, and oversampling approaches l

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 →

Related coverage

More from ARXIV
arxivEnhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures5harxivPitchBench: Measuring Pitch Hearing in Audio-Language Models5harxivJobBench: Aligning Agent Work With Human Will5harxivAnchorDiff: Training-Free Concept Grounding for MM-DiTs via Anchor-Based Graph Propagation5h
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