Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
Fuente:
arXiv
Saved in:
| Main Authors: | Cribeiro-Ramallo, Jose, Matteucci, Federico, Enciu, Paul, Jenke, Alexander, Arzamasov, Vadim, Strufe, Thorsten, Böhm, Klemens |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
Efficient Generation of Hidden Outliers for Improved Outlier Detection
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
Generalizability of experimental studies
by: Matteucci, Federico, et al.
Published: (2024)
by: Matteucci, Federico, et al.
Published: (2024)
Adaptive Bernstein Change Detector for High-Dimensional Data Streams
by: Heyden, Marco, et al.
Published: (2023)
by: Heyden, Marco, et al.
Published: (2023)
Generalized Factor Neural Network Model for High-dimensional Regression
by: Guo, Zichuan, et al.
Published: (2025)
by: Guo, Zichuan, et al.
Published: (2025)
Evaluating Privacy Measures for Load Hiding
by: Arzamasov, Vadim, et al.
Published: (2024)
by: Arzamasov, Vadim, et al.
Published: (2024)
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024)
by: Fung, Samy Wu, et al.
Published: (2024)
A supervised deep learning method for nonparametric density estimation
by: Bos, Thijs, et al.
Published: (2023)
by: Bos, Thijs, et al.
Published: (2023)
Forecasting Nigerian Equity Stock Returns Using Long Short-Term Memory Technique
by: Ojo, Adebola K., et al.
Published: (2025)
by: Ojo, Adebola K., et al.
Published: (2025)
Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition
by: Tepakbong, Nathanael, et al.
Published: (2025)
by: Tepakbong, Nathanael, et al.
Published: (2025)
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing
by: Behboodi, Arash, et al.
Published: (2024)
by: Behboodi, Arash, et al.
Published: (2024)
Theoretical Compression Bounds for Wide Multilayer Perceptrons
by: Cheairi, Houssam El, et al.
Published: (2025)
by: Cheairi, Houssam El, et al.
Published: (2025)
Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
by: Hashimoto, Ichiro
Published: (2025)
by: Hashimoto, Ichiro
Published: (2025)
Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models
by: Yang, Hong, et al.
Published: (2026)
by: Yang, Hong, et al.
Published: (2026)
Functional Large Deviations for Wide Deep Neural Networks with Gaussian Initialization and Lipschitz Activations
by: Macci, Claudio, et al.
Published: (2026)
by: Macci, Claudio, et al.
Published: (2026)
On the minimax optimality of Flow Matching through the connection to kernel density estimation
by: Kunkel, Lea, et al.
Published: (2025)
by: Kunkel, Lea, et al.
Published: (2025)
Distribution estimation via Flow Matching with Lipschitz guarantees
by: Kunkel, Lea
Published: (2025)
by: Kunkel, Lea
Published: (2025)
Automated Code Generation and Validation for Software Components of Microcontrollers
by: Haug, Sebastian, et al.
Published: (2025)
by: Haug, Sebastian, et al.
Published: (2025)
CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks
by: Tangsongcharoen, Krit, et al.
Published: (2025)
by: Tangsongcharoen, Krit, et al.
Published: (2025)
Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers
by: Ching, Michelle, et al.
Published: (2026)
by: Ching, Michelle, et al.
Published: (2026)
Optimal In-context Adaptivity and Distributional Robustness of Transformers
by: Ma, Tianyi, et al.
Published: (2025)
by: Ma, Tianyi, et al.
Published: (2025)
Nonparametric estimation of a factorizable density using diffusion models
by: Kwon, Hyeok Kyu, et al.
Published: (2025)
by: Kwon, Hyeok Kyu, et al.
Published: (2025)
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis
by: Anderberg, Alastair, et al.
Published: (2024)
by: Anderberg, Alastair, et al.
Published: (2024)
EatGAN: An Edge-Attention Guided Generative Adversarial Network for Single Image Super-Resolution
by: Rao, Penghao, et al.
Published: (2025)
by: Rao, Penghao, et al.
Published: (2025)
Graph-Conditional Flow Matching for Relational Data Generation
by: Scassola, Davide, et al.
Published: (2025)
by: Scassola, Davide, et al.
Published: (2025)
On the flow matching interpretability
by: Pivi, Francesco, et al.
Published: (2025)
by: Pivi, Francesco, et al.
Published: (2025)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
by: Pavlov, Gorgi
Published: (2026)
by: Pavlov, Gorgi
Published: (2026)
Performance Decay in Deepfake Detection: The Limitations of Training on Outdated Data
by: Richings, Jack, et al.
Published: (2025)
by: Richings, Jack, et al.
Published: (2025)
When fractional quasi p-norms concentrate
by: Tyukin, Ivan Y., et al.
Published: (2025)
by: Tyukin, Ivan Y., et al.
Published: (2025)
ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration
by: Huang, Ziyuan, et al.
Published: (2025)
by: Huang, Ziyuan, et al.
Published: (2025)
Adaptivity Under Realizability Constraints: Comparing In-Context and Agentic Learning
by: Kratsios, Anastasis, et al.
Published: (2026)
by: Kratsios, Anastasis, et al.
Published: (2026)
Improving Fairness and Mitigating MADness in Generative Models
by: Mayer, Paul, et al.
Published: (2024)
by: Mayer, Paul, et al.
Published: (2024)
Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
by: Buyukcakir, Barkin, et al.
Published: (2025)
by: Buyukcakir, Barkin, et al.
Published: (2025)
Marrying Compressed Sensing and Deep Signal Separation
by: Hickok, Truman, et al.
Published: (2024)
by: Hickok, Truman, et al.
Published: (2024)
Error Bounds for Learning with Vector-Valued Random Features
by: Lanthaler, Samuel, et al.
Published: (2023)
by: Lanthaler, Samuel, et al.
Published: (2023)
Supervised Guidance Training for Infinite-Dimensional Diffusion Models
by: Baker, Elizabeth L., et al.
Published: (2026)
by: Baker, Elizabeth L., et al.
Published: (2026)
Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
by: Levin, Ilya
Published: (2026)
by: Levin, Ilya
Published: (2026)
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
by: Bastounis, Alexander, et al.
Published: (2023)
by: Bastounis, Alexander, et al.
Published: (2023)
Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
by: Jähde, Orlando, et al.
Published: (2025)
by: Jähde, Orlando, et al.
Published: (2025)
Similar Items
-
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024) -
Efficient Generation of Hidden Outliers for Improved Outlier Detection
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024) -
Generalizability of experimental studies
by: Matteucci, Federico, et al.
Published: (2024) -
Adaptive Bernstein Change Detector for High-Dimensional Data Streams
by: Heyden, Marco, et al.
Published: (2023) -
Generalized Factor Neural Network Model for High-dimensional Regression
by: Guo, Zichuan, et al.
Published: (2025)