Computational EEG in Personalized Medicine: A study in Parkinson's Disease. - Sebastian Mathias Keller; Maxim Samarin; Antonia Meyer; Vitalii Kosak; Ute Gschwandtner; Peter Fuhr; Volker Roth 001 (CoRR, 2018)

Deep Archetypal Analysis. - Sebastian Mathias Keller; Maxim Samarin; Mario Wieser; Volker Roth 001 (GCPR, 2019)

On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures. - Maxim Samarin; Volker Roth 001; David Belius (CoRR, 2020)

Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network. - Maxim Samarin; Lauren Zweifel; Volker Roth 001; Christine Alewell (Remote. Sens., 2020)

Learning Conditional Invariance Through Cycle Consistency. - Maxim Samarin; Vitali Nesterov; Mario Wieser; Aleksander Wieczorek; Sonali Parbhoo; Volker Roth 001 (GCPR, 2021)

Learning Extremal Representations with Deep Archetypal Analysis. - Sebastian Mathias Keller; Maxim Samarin; Fabricio Arend Torres; Mario Wieser; Volker Roth 001 (Int. J. Comput. Vis., 2021)

Feature learning and random features in standard finite-width convolutional neural networks: An empirical study. - Maxim Samarin; Volker Roth 001; David Belius (UAI, 2022)

Learning Invariances with Generalised Input-Convex Neural Networks. - Vitali Nesterov; Fabricio Arend Torres; Monika Nagy-Huber; Maxim Samarin; Volker Roth 001 (CoRR, 2022)

Truly Mesh-free Physics-Informed Neural Networks. - Fabricio Arend Torres; Marcello Massimo Negri; Monika Nagy-Huber; Maxim Samarin; Volker Roth 001 (CoRR, 2022)