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Modeling Multivariate Missingness with Tree Graphs and Conjugate Odds
Arxiv
0+阅读 · 2月19日
Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training
Arxiv
0+阅读 · 2月17日
Identification of random material properties as stochastic inversion problem
Arxiv
0+阅读 · 2月16日
Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
Arxiv
0+阅读 · 2月16日
Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios
Arxiv
0+阅读 · 2月12日
Weighting-Based Identification and Estimation in Graphical Models of Missing Data
Arxiv
0+阅读 · 2月11日
Information Templates: A New Paradigm for Intelligent Active Feature Acquisition
Arxiv
0+阅读 · 2月4日
Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model
Arxiv
0+阅读 · 2月2日
Quantum latent distributions in deep generative models
Arxiv
0+阅读 · 1月30日
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective
Arxiv
0+阅读 · 2月1日
Manifold-Aware Perturbations for Constrained Generative Modeling
Arxiv
0+阅读 · 1月30日
Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
Arxiv
0+阅读 · 1月26日
Federated Unsupervised Semantic Segmentation
Arxiv
0+阅读 · 1月20日
Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data
Arxiv
0+阅读 · 1月26日
Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation
Arxiv
0+阅读 · 1月20日
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