Marius Kloft

University of Kaiserslautern — Germany

Computer Science · Physical Sciences

32h-index5.3kcitations180works2.52yr avg
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Research Topics

Anomaly Detection Techniques and Applications(36), Machine Learning and Algorithms(27), Face and Expression Recognition(26), Domain Adaptation and Few-Shot Learning(21), Sparse and Compressive Sensing Techniques(19)

Publications180 total

Formally Exploring Time-Series Anomaly Detection Evaluation Metrics
arXiv (Cornell University)·2025Open Access
Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks
2025
Continual Neural Topic Model
arXiv (Cornell University)·2025Open Access
Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
Radiology·2025· 8 citedOpen Access
Convective clouds over the Amazon rainforest – aerosol dependence and microphysical features
2025Open Access
Advancements in the incorporation of complex soot morphology within atmospheric sciences
2025Open Access
Selection of manufacturing processes using graph neural networks
Journal of Manufacturing Systems·2025· 11 citedOpen Access
Multi-level Supervised Contrastive Learning
arXiv (Cornell University)·2025Open Access
Sparse Data Diffusion for Scientific Simulations in Biology and Physics
ArXiv.org·2025Open Access
Challenging Assumptions in Learning Generic Text Style Embeddings
arXiv (Cornell University)·2025Open Access
A framework for in-situ process control in metal additive manufacturing using anomaly-driven reinforcement learning
Procedia CIRP·2025· 3 citedOpen Access
Challenging Assumptions in Learning Generic Text Style Embeddings
2025Open Access
Self-Supervised Anomaly Detection With Neural Transformations
IEEE Transactions on Pattern Analysis and Machine Intelligence·2024· 5 citedOpen Access
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
arXiv (Cornell University)·2024Open Access
AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
NEJM AI·2024· 12 citedOpen Access
SetPINNs: Set-based Physics-informed Neural Networks
arXiv (Cornell University)·2024· 1 citedOpen Access
Improving the predictions of black carbon (BC) optical properties at various aging stages using a machine-learning-based approach
Atmospheric chemistry and physics·2024· 6 citedOpen Access
Comgra: A Tool for Analyzing and Debugging Neural Networks
arXiv (Cornell University)·2024Open Access
Anomaly Detection of Tabular Data Using LLMs
arXiv (Cornell University)·2024· 2 citedOpen Access
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Klaus‐Robert Müller(9), Robert A. Vandermeulen(7), Stephan Mandt(7), Lukas Ruff(6), Nico Görnitz(6), Ulf Brefeld(5), Pavel Laskov(5), Alexander Binder(4), Xinwang Liu(4), En Zhu(3), Sören Sonnenburg(3), Fabian Jirasek(3), Michael Bortz(3), Hans Hasse(3), Yunwen Lei(3), Shinichi Nakajima(3), Nico Goernitz(2), Lucas Deecke(2), Emmanuel Müller(2), Miaomiao Li(2)