Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. - Merlin Schüler; Hlynur Davíð Hlynsson; Laurenz Wiskott (ACML, 2019)

Measuring the Data Efficiency of Deep Learning Methods. - Hlynur Davíð Hlynsson; Alberto N. Escalante-B.; Laurenz Wiskott (ICPRAM, 2019)

Learning Gradient-Based ICA by Neurally Estimating Mutual Information. - Hlynur Davíð Hlynsson; Laurenz Wiskott (KI, 2019)

Reward Prediction for Representation Learning and Reward Shaping. - Hlynur Davíð Hlynsson; Laurenz Wiskott (IJCCI, 2021)

Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization. - Pavlos Rath-Manakidis; Hlynur Davíð Hlynsson; Laurenz Wiskott (ICPRAM, 2022)

Visual processing in context of reinforcement learning. - Hlynur Davíð Hlynsson (CoRR, 2022)

Latent Representation Prediction Networks. - Hlynur Davíð Hlynsson; Merlin Schüler; Robin Schiewer; Tobias Glasmachers; Laurenz Wiskott (Int. J. Pattern Recognit. Artif. Intell., 2022)

Visual processing in context of reinforcement learning. - Hlynur Davíð Hlynsson (2022)