Saved in:
| Main Authors: | Hennhöfer, Oliver, Kirsch, Maximilian, Preisach, Christine |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.13642 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes
by: Hennhöfer, Oliver, et al.
Published: (2026)
by: Hennhöfer, Oliver, et al.
Published: (2026)
Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors
by: Hennhöfer, Oliver, et al.
Published: (2024)
by: Hennhöfer, Oliver, et al.
Published: (2024)
Early Detection of Forest Calamities in Homogeneous Stands -- Deep Learning Applied to Bark-Beetle Outbreaks
by: Kirsch, Maximilian, et al.
Published: (2025)
by: Kirsch, Maximilian, et al.
Published: (2025)
Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
by: Badran, Yahya, et al.
Published: (2025)
by: Badran, Yahya, et al.
Published: (2025)
Addressing Label Leakage in Knowledge Tracing Models
by: Badran, Yahya, et al.
Published: (2024)
by: Badran, Yahya, et al.
Published: (2024)
Sparse Binary Representation Learning for Knowledge Tracing
by: Badran, Yahya, et al.
Published: (2025)
by: Badran, Yahya, et al.
Published: (2025)
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines
by: Weber, Kenan, et al.
Published: (2024)
by: Weber, Kenan, et al.
Published: (2024)
Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
by: Badran, Yahya, et al.
Published: (2025)
by: Badran, Yahya, et al.
Published: (2025)
coverforest: Conformal Predictions with Random Forest in Python
by: Meehinkong, Panisara, et al.
Published: (2025)
by: Meehinkong, Panisara, et al.
Published: (2025)
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
by: Estievenart, Yorick, et al.
Published: (2025)
by: Estievenart, Yorick, et al.
Published: (2025)
An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization
by: Afifi, Sohaib
Published: (2026)
by: Afifi, Sohaib
Published: (2026)
TorchCP: A Python Library for Conformal Prediction
by: Huang, Jianguo, et al.
Published: (2024)
by: Huang, Jianguo, et al.
Published: (2024)
PySAD: A Streaming Anomaly Detection Framework in Python
by: Yilmaz, Selim F., et al.
Published: (2020)
by: Yilmaz, Selim F., et al.
Published: (2020)
Beyond a Single Perspective: Text Anomaly Detection with Multi-View Language Representations
by: Liu, Yixin, et al.
Published: (2026)
by: Liu, Yixin, et al.
Published: (2026)
Anomaly Detection in Medical Imaging -- A Mini Review
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)
by: Razzak, Muhammed, et al.
Published: (2024)
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
by: Kumar, Divake, et al.
Published: (2025)
by: Kumar, Divake, et al.
Published: (2025)
Constraining Anomaly Detection with Anomaly-Free Regions
by: Toller, Maximilian, et al.
Published: (2024)
by: Toller, Maximilian, et al.
Published: (2024)
Conformal Thresholded Intervals for Efficient Regression
by: Luo, Rui, et al.
Published: (2024)
by: Luo, Rui, et al.
Published: (2024)
spd-metrics-id: A Python Package for SPD-Aware Distance Metrics in Connectome Fingerprinting and Beyond
by: Uddin, Kaosar
Published: (2025)
by: Uddin, Kaosar
Published: (2025)
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
by: Kirsch, Andreas
Published: (2024)
by: Kirsch, Andreas
Published: (2024)
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection
by: Bai, Songran, et al.
Published: (2025)
by: Bai, Songran, et al.
Published: (2025)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)
by: Liu, Yidan, et al.
Published: (2024)
On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
by: Le-Gia, Tai
Published: (2025)
by: Le-Gia, Tai
Published: (2025)
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding
by: Laridi, Sofiane, et al.
Published: (2024)
by: Laridi, Sofiane, et al.
Published: (2024)
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection
by: Jung, Minseok, et al.
Published: (2025)
by: Jung, Minseok, et al.
Published: (2025)
Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
Mechanistic Anomaly Detection for "Quirky" Language Models
by: Johnston, David O., et al.
Published: (2025)
by: Johnston, David O., et al.
Published: (2025)
NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)
by: Li, Yuangang, et al.
Published: (2024)
Improving Autism Detection with Multimodal Behavioral Analysis
by: Saakyan, William, et al.
Published: (2025)
by: Saakyan, William, et al.
Published: (2025)
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold
by: Ale, Tolulope, et al.
Published: (2024)
by: Ale, Tolulope, et al.
Published: (2024)
A Real-time Anomaly Detection Using Convolutional Autoencoder with Dynamic Threshold
by: Maitra, Sarit, et al.
Published: (2024)
by: Maitra, Sarit, et al.
Published: (2024)
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
by: Corrêa, Augusto B., et al.
Published: (2025)
by: Corrêa, Augusto B., et al.
Published: (2025)
Probabilistic Object Detection with Conformal Prediction
by: Ries, Christopher, et al.
Published: (2026)
by: Ries, Christopher, et al.
Published: (2026)
Benchmarking Anomaly Detection Algorithms: Deep Learning and Beyond
by: Mehta, Shanay, et al.
Published: (2024)
by: Mehta, Shanay, et al.
Published: (2024)
Unsupervised Symbolic Anomaly Detection
by: Hossain, Md Maruf, et al.
Published: (2026)
by: Hossain, Md Maruf, et al.
Published: (2026)
Set Features for Anomaly Detection
by: Cohen, Niv, et al.
Published: (2023)
by: Cohen, Niv, et al.
Published: (2023)
Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions
by: Kirsch, Andreas
Published: (2024)
by: Kirsch, Andreas
Published: (2024)
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
by: Fayyazi, Arya, et al.
Published: (2025)
by: Fayyazi, Arya, et al.
Published: (2025)
From Zero to Hero: Cold-Start Anomaly Detection
by: Reiss, Tal, et al.
Published: (2024)
by: Reiss, Tal, et al.
Published: (2024)
Similar Items
-
Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes
by: Hennhöfer, Oliver, et al.
Published: (2026) -
Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors
by: Hennhöfer, Oliver, et al.
Published: (2024) -
Early Detection of Forest Calamities in Homogeneous Stands -- Deep Learning Applied to Bark-Beetle Outbreaks
by: Kirsch, Maximilian, et al.
Published: (2025) -
Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
by: Badran, Yahya, et al.
Published: (2025) -
Addressing Label Leakage in Knowledge Tracing Models
by: Badran, Yahya, et al.
Published: (2024)