Lucas Deecke

According to our database, Lucas Deecke authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Visual Representation Learning over Latent Domains.

Lucas Deecke, Timothy M. Hospedales, Hakan Bilen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Transfer-Based Semantic Anomaly Detection.

Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Deep Anomaly Detection by Residual Adaptation.

Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen

CoRR, 2020

Latent Domain Learning with Dynamic Residual Adapters.

Lucas Deecke, Timothy M. Hospedales, Hakan Bilen

CoRR, 2020

2019

Mode Normalization.

Lucas Deecke, Iain Murray, Hakan Bilen

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Image Anomaly Detection with Generative Adversarial Networks.

Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Deep One-Class Classification.

Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft

Proceedings of the 35th International Conference on Machine Learning, 2018