Ozan Özdenizci

Trans. Mach. Learn. Res., 2024

Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints.

[BibT_eX]

[DOI]

Jasmin Viktoria Gritsch

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models.

[BibT_eX]

[DOI]

Francisco Javier Klaiber Aboitiz

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning.

[BibT_eX]

[DOI]

Philipp Hallgarten

David Bethge

Enkelejda Kasneci

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity.

[BibT_eX]

[DOI]

Thomas Limbacher

CoRR, 2022

EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders.

[BibT_eX]

[DOI]

David Bethge

Philipp Hallgarten

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Domain-Invariant Representation Learning from EEG with Private Encoders.

[BibT_eX]

[DOI]

David Bethge

Philipp Hallgarten

Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Multiple EEG Data Domains with Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Stochastic mutual information gradient estimation for dimensionality reduction networks.

[BibT_eX]

[DOI]

Inf. Sci., 2021

EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

On the use of generative deep neural networks to synthesize artificial multichannel EEG signals.

[BibT_eX]

[DOI]

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling.

[BibT_eX]

[DOI]

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

2020

Information Theoretic Feature Transformation Learning for Brain Interfaces.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2020

Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Learning Invariant Representations From EEG via Adversarial Inference.

[BibT_eX]

[DOI]

IEEE Access, 2020

Disentangled Adversarial Transfer Learning for Physiological Biosignals.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Adversarial Deep Learning in EEG Biometrics.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Neural Signatures of Motor Skill in the Resting Brain.

[BibT_eX]

[DOI]

Anastasia-Atalanti Mastakouri

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects.

[BibT_eX]

[DOI]

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

2018

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals.

[BibT_eX]

[DOI]

Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Personalized brain-computer interface models for motor rehabilitation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Information theoretic feature projection for single-trial brain-computer interfaces.

[BibT_eX]

[DOI]

Fernando Quivira

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity.

[BibT_eX]

[DOI]

Proceedings of the From Vision to Reality, 2017

2016

Resting-state EEG correlates of motor learning performance in a force-field adaptation task.

[BibT_eX]

[DOI]

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015

Causal interpretation rules for encoding and decoding models in neuroimaging.

[BibT_eX]

[DOI]

NeuroImage, 2015

Adaptive neurofeedback on parieto-occipital cortex for motor learning performance.

[BibT_eX]

[DOI]

Timm Meyer