:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Beck, Viktor, Landauer, Max, Wurzenberger, Markus, Skopik, Florian, Rauber, Andreas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning I.2; I.5
Online Access:	https://arxiv.org/abs/2504.04877
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques
by: Landauer, Max, et al.
Published: (2023)

AlertBERT: A noise-robust alert grouping framework for simultaneous cyber attacks
by: Karner, Lukas, et al.
Published: (2026)

Large Language Models Are Not Strong Abstract Reasoners
by: Gendron, Gaël, et al.
Published: (2023)

A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
by: Dhole, Kaustubh D.
Published: (2025)

Continuous Latent Contexts Enable Efficient Online Learning in Transformers
by: Anand, Emile, et al.
Published: (2026)

Efficient Strategy for Improving Large Language Model (LLM) Capabilities
by: Gutiérrez, Julián Camilo Velandia
Published: (2025)

ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model
by: Pospieszny, Przemek, et al.
Published: (2025)

Adaptive Riemannian Graph Neural Networks
by: Wang, Xudong, et al.
Published: (2025)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
by: Wang, Xudong, et al.
Published: (2025)

Vacuum Spiker: A Spiking Neural Network-Based Model for Efficient Anomaly Detection in Time Series
by: Vázquez, Iago Xabier, et al.
Published: (2025)

Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
by: Yocam, Eric, et al.
Published: (2026)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)

Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
by: Perazzolo, Diego, et al.
Published: (2025)

Uncovering Population PK Covariates from VAE-Generated Latent Spaces
by: Perazzolo, Diego, et al.
Published: (2025)

Beyond RAG for Cyber Threat Intelligence: A Systematic Evaluation of Graph-Based and Agentic Retrieval
by: Hamzic, Dzenan, et al.
Published: (2026)

Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
by: Keçeci, Ertuğrul, et al.
Published: (2025)

CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models
by: Hosseini, Peyman, et al.
Published: (2025)

IMUVIE: Pickup Timeline Action Localization via Motion Movies
by: Clapham, John, et al.
Published: (2024)

DeepC4: Deep Conditional Census-Constrained Clustering for Large-scale Multitask Spatial Disaggregation of Urban Morphology
by: Dimasaka, Joshua, et al.
Published: (2025)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)

Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)

Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
by: Alt, Benjamin, et al.
Published: (2023)

Applied Explainability for Large Language Models: A Comparative Study
by: Kancharla, Venkata Abhinandan
Published: (2026)

Task Singular Vectors: Reducing Task Interference in Model Merging
by: Gargiulo, Antonio Andrea, et al.
Published: (2024)

Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit
by: Alvarez, Sergio A.
Published: (2021)

A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
by: Borah, Parashjyoti, et al.
Published: (2026)

Towards Explainable and Reliable AI in Finance
by: Isufaj, Albi, et al.
Published: (2025)

SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
by: Turzi, Marco, et al.
Published: (2025)

Online Calibrated and Conformal Prediction Improves Bayesian Optimization
by: Deshpande, Shachi, et al.
Published: (2021)

Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
by: Kuleshov, Volodymyr, et al.
Published: (2021)

Analyzing the Benefits of Prototypes for Semi-Supervised Category Learning
by: Zhang, Liyi, et al.
Published: (2024)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)

Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds
by: Sasso, Remo, et al.
Published: (2025)

QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)

BOTracle: A framework for Discriminating Bots and Humans
by: Kadel, Jan, et al.
Published: (2024)

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
by: Stripelis, Dimitris, et al.
Published: (2024)

Augmenting Replay in World Models for Continual Reinforcement Learning
by: Yang, Luke, et al.
Published: (2024)

Trojan Detection Through Pattern Recognition for Large Language Models
by: Bhasin, Vedant, et al.
Published: (2025)

Tensor Logic: The Language of AI
by: Domingos, Pedro
Published: (2025)

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
by: Xian, Zeqiang, et al.
Published: (2026)