·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows2h◆Classifier-pruned Bayesian optimization for particle accelerator tuning: Exploring temporally structured manifold of 6D beam phase space2h◆PreMoE: Proactive Inference for Efficient Mixture-of-Experts2h◆Spectral functions in Minkowski quantum electrodynamics from neural reconstruction2h◆Benchmarking Large Language Models on Multi-Sensor Physical Hazard Assessment2h◆PersonaTrail: Benchmarking Personalized Web Agents through Browsing Trails2h◆Tractable Hierarchical Control of Autoregressive Language Models2h◆Workload-Aware Caching for Multi-Agent Systems2h◆Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning2h◆OPOD: On-Policy Omni Distillation2h◆Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI2h◆Explaining Weather Bulletins via ILP2h◆Detecting LLM-Generated Tokens in Human--LLM Coauthored Text2h◆MIRROR: Learning from the Other View for Multi-Modal Reasoning2h◆Making Open-Source Text LLM Watermarks Durable Against Merging2h◆The Storyteller in the Model: Narrative Pattern Inheritance, Escalation Dynamics, and Alignment Governance in LLMs2h◆Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc2h◆CAMeR: Keyword-Gated Hybrid Activation for Adaptive Memory Retention in LLM Agents2h◆Improving Access to Essential Medicines via Decision-Aware Machine Learning2h◆Geometric Configurations of Perturbed Jailbreak Prompts2h◆SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows2h◆Classifier-pruned Bayesian optimization for particle accelerator tuning: Exploring temporally structured manifold of 6D beam phase space2h◆PreMoE: Proactive Inference for Efficient Mixture-of-Experts2h◆Spectral functions in Minkowski quantum electrodynamics from neural reconstruction2h◆Benchmarking Large Language Models on Multi-Sensor Physical Hazard Assessment2h◆PersonaTrail: Benchmarking Personalized Web Agents through Browsing Trails2h◆Tractable Hierarchical Control of Autoregressive Language Models2h◆Workload-Aware Caching for Multi-Agent Systems2h◆Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning2h◆OPOD: On-Policy Omni Distillation2h◆Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI2h◆Explaining Weather Bulletins via ILP2h◆Detecting LLM-Generated Tokens in Human--LLM Coauthored Text2h◆MIRROR: Learning from the Other View for Multi-Modal Reasoning2h◆Making Open-Source Text LLM Watermarks Durable Against Merging2h◆The Storyteller in the Model: Narrative Pattern Inheritance, Escalation Dynamics, and Alignment Governance in LLMs2h◆Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc2h◆CAMeR: Keyword-Gated Hybrid Activation for Adaptive Memory Retention in LLM Agents2h◆Improving Access to Essential Medicines via Decision-Aware Machine Learning2h◆Geometric Configurations of Perturbed Jailbreak Prompts2h◆
News/Gibbs randomness-compression proposition
arxiv
PublishedJuly 24, 2026 at 4:00 AM

Gibbs randomness-compression proposition

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

arXiv:2505.23869v5 Announce Type: replace-cross Abstract: A proposition that connects randomness and compression is put forward via Gibbs entropy over set of measurement vectors associated with a lossy compression process. In building this connection, we use a performance of a learning task as a pro

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
arxivSESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows2harxivClassifier-pruned Bayesian optimization for particle accelerator tuning: Exploring temporally structured manifold of 6D beam phase space2harxivPreMoE: Proactive Inference for Efficient Mixture-of-Experts2harxivSpectral functions in Minkowski quantum electrodynamics from neural reconstruction2h
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