Image de couverture de livre

From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	She, Rui, Fan, Pingyi
Format:	Preprint
Publié:	2022
Sujets:	Machine Learning Artificial Intelligence Information Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
par: Do, Nguyen, et autres
Publié: (2024)

Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
par: She, Rui, et autres
Publié: (2019)

Contrastive ECOC: Learning Output Codes for Adversarial Defense
par: Chou, Che-Yu, et autres
Publié: (2025)

Dynamic Quality-Latency Aware Routing for LLM Inference in Wireless Edge-Device Networks
par: Bao, Rui, et autres
Publié: (2025)

Backdoor Attack against One-Class Sequential Anomaly Detection Models
par: Cheng, He, et autres
Publié: (2024)

A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints
par: Wang, Yikun, et autres
Publié: (2026)

Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity
par: Levy, Jordan, et autres
Publié: (2026)

Joint Interference Detection and Identification via Adversarial Multi-task Learning
par: Xu, H., et autres
Publié: (2026)

Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
par: Chen, Fan, et autres
Publié: (2025)

Knowledge Graph-Based Explainable and Generalized Zero-Shot Semantic Communications
par: Zhang, Zhaoyu, et autres
Publié: (2025)

CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
par: Liu, Xuran, et autres
Publié: (2025)

Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks
par: Hu, Haoji, et autres
Publié: (2026)

Focusing on a Probability Element: Parameter Selection of Message Importance Measure in Big Data
par: She, Rui, et autres
Publié: (2017)

Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
par: Zhang, Bohan, et autres
Publié: (2025)

Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
par: Bas, Sumeyye, et autres
Publié: (2024)

Semi-supervised Batch Learning From Logged Data
par: Aminian, Gholamali, et autres
Publié: (2022)

Three Quantization Regimes for ReLU Networks
par: Ou, Weigutian, et autres
Publié: (2024)

From Markov to Laplace: How Mamba In-Context Learns Markov Chains
par: Bondaschi, Marco, et autres
Publié: (2025)

Hyperedge Anomaly Detection with Hypergraph Neural Network
par: Alam, Md. Tanvir, et autres
Publié: (2024)

Detecting fake accounts through Generative Adversarial Network in online social media
par: Bordbar, Jinus, et autres
Publié: (2022)

Neural Beam Field for Spatial Beam RSRP Prediction
par: Guo, Keqiang, et autres
Publié: (2025)

Generalization and Informativeness of Conformal Prediction
par: Zecchin, Matteo, et autres
Publié: (2024)

Dynamic Multi-Network Mining of Tensor Time Series
par: Obata, Kohei, et autres
Publié: (2024)

Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
par: Moldovan, Adrian, et autres
Publié: (2024)

Simple Convergence Proof of Adam From a Sign-like Descent Perspective
par: Peng, Hanyang, et autres
Publié: (2025)

Learning During Detection: Continual Learning for Neural OFDM Receivers via DMRS
par: Obeed, Mohanad, et autres
Publié: (2026)

AlphaZip: Neural Network-Enhanced Lossless Text Compression
par: Narashiman, Swathi Shree, et autres
Publié: (2024)

Score Based Error Correcting Code Decoder
par: Helvits, Alon, et autres
Publié: (2026)

Score-Based Variational Inference for Inverse Problems
par: Xue, Zhipeng, et autres
Publié: (2024)

Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks
par: Xu, Chunmei, et autres
Publié: (2024)

Deep Learning and Matrix Completion-aided IoT Network Localization in the Outlier Scenarios
par: Kim, Sunwoo
Publié: (2025)

Enhancing Explainability of Graph Neural Networks Through Conceptual and Structural Analyses and Their Extensions
par: Bui, Tien Cuong
Publié: (2025)

Redundancy as a Structural Information Principle for Learning and Generalization
par: Bi, Yuda, et autres
Publié: (2025)

Remote Action Generation: Remote Control with Minimal Communication
par: Kobus, Szymon, et autres
Publié: (2026)

A Rational Account of Categorization Based on Information Theory
par: MacLellan, Christopher J., et autres
Publié: (2026)

Generative Decompression: Optimal Lossy Decoding Against Distribution Mismatch
par: Khosravirad, Saeed R., et autres
Publié: (2026)

General Information Metrics for Improving AI Model Training Efficiency
par: Xu, Jianfeng, et autres
Publié: (2025)

Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
par: Cai, Changxiao, et autres
Publié: (2026)

A General Error-Theoretical Analysis Framework for Constructing Compression Strategies
par: Zhang, Boyang, et autres
Publié: (2025)

Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift
par: Zecchin, Matteo, et autres
Publié: (2025)