·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Can Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index3h◆ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling3h◆Critique of Agent Model3h◆LemonHarness Technical Report3h◆The Measurable Majority3h◆Fast and Slow Variational Continual Learning3h◆Real-Time Interactive Music Generation via Data-Free Streaming Consistency Distillation3h◆A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial3h◆ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection3h◆Are Safety Guarantees in Neural Networks Safe? How to Compute Trustworthy Robustness Certifications3h◆Event-Aligned Analysis of Multi-Rater Pain Assessments Using Continuous Wearable Physiology3h◆Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs3h◆Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?3h◆MVG-KAN: Multi-View Geo-Wind Guided KAN for PM$_{2.5}$ Forecasting3h◆VeriPilot: An LLM-Powered Verilog Debugging Framework3h◆Beyond Bayer: Task-Optimal Sensor Co-Design for Robust Autonomous-Driving Segmentation3h◆BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents3h◆The Latent Bridge: A Continuous Slow-Fast Channel for Real-Time Game Agents3h◆Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations3h◆Context-Aware Prediction of Student Quiz Performance with Multimodal Textbook Features3h◆Can Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index3h◆ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling3h◆Critique of Agent Model3h◆LemonHarness Technical Report3h◆The Measurable Majority3h◆Fast and Slow Variational Continual Learning3h◆Real-Time Interactive Music Generation via Data-Free Streaming Consistency Distillation3h◆A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial3h◆ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection3h◆Are Safety Guarantees in Neural Networks Safe? How to Compute Trustworthy Robustness Certifications3h◆Event-Aligned Analysis of Multi-Rater Pain Assessments Using Continuous Wearable Physiology3h◆Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs3h◆Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?3h◆MVG-KAN: Multi-View Geo-Wind Guided KAN for PM$_{2.5}$ Forecasting3h◆VeriPilot: An LLM-Powered Verilog Debugging Framework3h◆Beyond Bayer: Task-Optimal Sensor Co-Design for Robust Autonomous-Driving Segmentation3h◆BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents3h◆The Latent Bridge: A Continuous Slow-Fast Channel for Real-Time Game Agents3h◆Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations3h◆Context-Aware Prediction of Student Quiz Performance with Multimodal Textbook Features3h◆
News/Data Augmentation: A Fourier Analysis Perspective
arxiv
PublishedJune 24, 2026 at 4:00 AM
—neutral

Data Augmentation: A Fourier Analysis Perspective

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

arXiv:2606.24418v1 Announce Type: new Abstract: Data augmentation is a simple and model-agnostic approach for exploiting known invariances in learning problems. Given a group acting on the input space, one augments the training set with transformed copies of each sample. Because it exploits symmetri

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
arxivCan Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index3harxivScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling3harxivCritique of Agent Model3harxivLemonHarness Technical Report3h
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