Felix Wiewel

According to our database, Felix Wiewel authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Rehearsal-based continual learning with deep neural networks for image classification.

Felix Wiewel

PhD thesis, 2024

2022

Dirichlet Prior Networks for Continual Learning.

Felix Wiewel, Alexander Bartler, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer.

Robert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision.

Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption.

Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows.

Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang

CoRR, 2021

Condensed Composite Memory Continual Learning.

Felix Wiewel, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Continual Learning Through One-Class Classification Using VAE.

Felix Wiewel, Andreas Brendle, Bin Yang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Entropy-based Sample Selection for Online Continual Learning.

Felix Wiewel, Bin Yang

Proceedings of the 28th European Signal Processing Conference, 2020

Semi-supervised Riemannian Dimensionality Reduction and Classification Using a Manifold-based Random Walker Graph.

Faezeh Fallah, Felix Wiewel, Bin Yang

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Localizing Catastrophic Forgetting in Neural Networks.

Felix Wiewel, Bin Yang

CoRR, 2019

Continual Learning for Anomaly Detection with Variational Autoencoder.

Felix Wiewel, Bin Yang

Proceedings of the IEEE International Conference on Acoustics, 2019

Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling.

Alexander Bartler, Felix Wiewel, Lukas Mauch, Bin Yang

Proceedings of the 27th European Signal Processing Conference, 2019