Frequency Analysis - Edgentiq

The Hidden Frequency Problem in Time Series Foundation Models

Detecting AI-Generated Images Through Frequency Analysis

LPCVAE: A New Standard for Time Series Anomaly Detection

FreqCa: A Dual-Frequency Approach to Accelerate AI Image Generation

The Hidden Signals: What Synthetic Image Detectors Truly Rely On

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SFANet: A Hybrid Approach to Detecting AI-Generated Deepfakes

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TimeEmb: A New Framework for Disentangling Time Series Patterns for Accurate Forecasting

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Unpacking Simplicity Bias: How Neural Networks Prioritize Features in Image Tasks

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Unlocking User Preferences: How Frequency Analysis Balances Purity and Diversity in Recommendations

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Optimizing State Space Models for Better Frequency Coverage

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FLAIR: A Novel Framework for High-Fidelity Implicit Neural Representations

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Advancing Medical AI: A Quantum and Frequency-Based Approach to Visual Question Answering

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PatchTraj: Unifying Time and Frequency for Smarter Pedestrian Trajectory Prediction

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Enhancing Vision Transformers for Detailed Image Analysis

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Advanced Kernel Designs Enhance Data Forecasting in Surrogate Modeling

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Gen AI News and Updates

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The Hidden Frequency Problem in Time Series Foundation Models

November 11, 2025

Detecting AI-Generated Images Through Frequency Analysis

November 4, 2025

LPCVAE: A New Standard for Time Series Anomaly Detection

October 14, 2025