·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models5h◆HPD-Parsing: Hierarchical Parallel Document Parsing5h◆ARMOR: Stabilizing On-Policy LLM RL with Off-Policy Anchor Samples5h◆Convolution for Large Language Models5h◆Calibrated Selective Fact-Checking via Evidence Chain Evaluation5h◆Incomplete Observations Boost Evolutionary Performance in Ocean Modeling5h◆AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration5h◆Conditioned Direct Feedback Alignment via Activity and Error Geometry5h◆On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers5h◆A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space5h◆BRIDGE: Bottleneck-Aware Regulator-Set Inference and Diagnosis for Cooperative Gene Regulatory Recovery5h◆Decafs: Disentangled Conditional adversarial Flows5h◆Relative Positions Generalize, Absolute Positions Memorize: An Implicit-Bias Account of Length Generalization in Attention5h◆Low-Rank Evolutionary Deep Neural Networks via Adaptive Tangent-Space Reduction5h◆Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment5h◆DeepPAAC: A New Deep Galerkin Method for Principal-Agent Problems5h◆Agents in the Wild: Where Research Meets Deployment5h◆Market Strategy Evaluation for Prosumers in Local Electricity Markets5h◆SAAG: Structured Agent Assessment and Grounding5h◆MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction5h◆DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models5h◆HPD-Parsing: Hierarchical Parallel Document Parsing5h◆ARMOR: Stabilizing On-Policy LLM RL with Off-Policy Anchor Samples5h◆Convolution for Large Language Models5h◆Calibrated Selective Fact-Checking via Evidence Chain Evaluation5h◆Incomplete Observations Boost Evolutionary Performance in Ocean Modeling5h◆AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration5h◆Conditioned Direct Feedback Alignment via Activity and Error Geometry5h◆On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers5h◆A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space5h◆BRIDGE: Bottleneck-Aware Regulator-Set Inference and Diagnosis for Cooperative Gene Regulatory Recovery5h◆Decafs: Disentangled Conditional adversarial Flows5h◆Relative Positions Generalize, Absolute Positions Memorize: An Implicit-Bias Account of Length Generalization in Attention5h◆Low-Rank Evolutionary Deep Neural Networks via Adaptive Tangent-Space Reduction5h◆Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment5h◆DeepPAAC: A New Deep Galerkin Method for Principal-Agent Problems5h◆Agents in the Wild: Where Research Meets Deployment5h◆Market Strategy Evaluation for Prosumers in Local Electricity Markets5h◆SAAG: Structured Agent Assessment and Grounding5h◆MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction5h◆
News/LieBN: Batch Normalization over Lie Groups
arxiv
PublishedJuly 22, 2026 at 4:00 AM

LieBN: Batch Normalization over Lie Groups

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

arXiv:2607.08783v3 Announce Type: replace-cross Abstract: Manifold-valued measurements are prevalent in various machine learning tasks. Recent advances have extended Deep Neural Networks (DNNs) to operate on manifolds. These extensions have been accompanied by normalization techniques tailored to di

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
arxivDBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models5harxivHPD-Parsing: Hierarchical Parallel Document Parsing5harxivIncomplete Observations Boost Evolutionary Performance in Ocean Modeling5harxivCalibrated Selective Fact-Checking via Evidence Chain Evaluation5h
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