Coding into Inner Models at the Level of Strong Cardinals. - Marios Koulakis (Bull. Symb. Log., 2018)

Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. - Kunyu Peng; Alina Roitberg; David Schneider 006; Marios Koulakis; Kailun Yang 001; Rainer Stiefelhagen (FG, 2021)

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. - M. Saquib Sarfraz; Marios Koulakis; Constantin Seibold; Rainer Stiefelhagen (CVPR, 2022)

Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates. - Alina Roitberg; Kunyu Peng; David Schneider 006; Kailun Yang 001; Marios Koulakis; Manuel Martínez 001; Rainer Stiefelhagen (IEEE Trans. Intell. Transp. Syst., 2022)

Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? - M. Saquib Sarfraz; Mei-Yen Chen; Lukas Layer; Kunyu Peng; Marios Koulakis (ICML, 2024)

Domain-independent detection of known anomalies. - Jonas Bühler; Jonas Fehrenbach; Lucas Steinmann; Christian Nauck; Marios Koulakis (CoRR, 2024)