·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
IMEX Interaction-Based Model Explanation5h◆DialogueVPR: Towards Conversational Visual Place Recognition5h◆Human AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach5h◆Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers5h◆MemoHarness: Agent Harnesses That Learn from Experience5h◆A Comparative Analysis of Machine Learning Models for Long and Short-Term Forecasting of the Egyptian Stock Market: A Focus on EGX305h◆CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models5h◆Reward-Free Evolving Agents via Pairwise Validator5h◆Towards an Intention Abstraction Layer for Autonomous Industrial Systems5h◆Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation5h◆SportD: Can VLMs Physically Strategize?5h◆Action QFormer: Structured Representation Shaping under Action Supervision in Vision-Language-Action Models5h◆SmartRAG: Native Graph-Based RAG for Mobile Device5h◆InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring5h◆NexForge: Scaling Executable Agent Tasks via Requirement-First Synthesis5h◆Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation5h◆EdgeFaaS: A Function-based Framework for Edge Computing5h◆SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied Agents5h◆Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models5h◆Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction5h◆IMEX Interaction-Based Model Explanation5h◆DialogueVPR: Towards Conversational Visual Place Recognition5h◆Human AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach5h◆Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers5h◆MemoHarness: Agent Harnesses That Learn from Experience5h◆A Comparative Analysis of Machine Learning Models for Long and Short-Term Forecasting of the Egyptian Stock Market: A Focus on EGX305h◆CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models5h◆Reward-Free Evolving Agents via Pairwise Validator5h◆Towards an Intention Abstraction Layer for Autonomous Industrial Systems5h◆Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation5h◆SportD: Can VLMs Physically Strategize?5h◆Action QFormer: Structured Representation Shaping under Action Supervision in Vision-Language-Action Models5h◆SmartRAG: Native Graph-Based RAG for Mobile Device5h◆InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring5h◆NexForge: Scaling Executable Agent Tasks via Requirement-First Synthesis5h◆Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation5h◆EdgeFaaS: A Function-based Framework for Edge Computing5h◆SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied Agents5h◆Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models5h◆Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction5h◆
News/The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold
arxiv
PublishedJune 2, 2026 at 4:00 AM

The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold

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

arXiv:2511.01938v3 Announce Type: replace-cross Abstract: Grokking is a puzzling phenomenon in neural networks where full generalization occurs only after a substantial delay following the complete memorization of the training data. Previous research has linked this delayed generalization to represe

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
arxivIMEX Interaction-Based Model Explanation5harxivDialogueVPR: Towards Conversational Visual Place Recognition5harxivHuman AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach5harxivOrchestrating Power Grid Studies with Multi-Agent AI and MCP Servers5h
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