Marios Koulakis

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Supervised Dimensionality Reduction

Graph Embedding

Confidence Estimates

Nearest Neighbor

Top Venues

Bull. Symb. Log.

IEEE Trans. Intell. Transp. Syst.

Publications

M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer, Kunyu Peng, Marios Koulakis
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? CoRR (2024)
Jonas Bühler, Jonas Fehrenbach, Lucas Steinmann, Christian Nauck, Marios Koulakis
Domain-independent detection of known anomalies. CoRR (2024)
M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CoRR (2022)
M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CVPR (2022)
Alina Roitberg, Kunyu Peng, David Schneider, Kailun Yang, Marios Koulakis, Manuel Martínez, Rainer Stiefelhagen
Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Alina Roitberg, Kunyu Peng, David Schneider, Kailun Yang, Marios Koulakis, Manuel Martínez, Rainer Stiefelhagen
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates. CoRR (2022)
Kunyu Peng, Alina Roitberg, David Schneider, Marios Koulakis, Kailun Yang, Rainer Stiefelhagen
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. FG (2021)
Kunyu Peng, Alina Roitberg, David Schneider, Marios Koulakis, Kailun Yang, Rainer Stiefelhagen
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. CoRR (2021)
Marios Koulakis
Coding into Inner Models at the Level of Strong Cardinals. Bull. Symb. Log. 24 (4) (2018)