An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. - Felix P. Kemeth; Sindre W. Haugland; Felix Dietrich; Tom Bertalan; Kevin Höhlein; Qianxiao Li; Erik M. Bollt; Ronen Talmon; Katharina Krischer; Ioannis G. Kevrekidis (IEEE Access, 2018)

Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification. - Maximilian P. Oppelt; Maximilian Riehl; Felix P. Kemeth; Jan Steffan (CinC, 2020)

The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. - Faezeh Nejati Hatamian; Nishant Ravikumar; Sulaiman Vesal; Felix P. Kemeth; Matthias Struck; Andreas K. Maier (ICASSP, 2020)

NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps. - Maximilian Seitzer; Andreas Foltyn; Felix P. Kemeth (CoRR, 2020)

Learning emergent PDEs in a learned emergent space. - Felix P. Kemeth; Tom Bertalan; Thomas N. Thiem; Felix Dietrich; Sung Joon Moon; Carlo R. Laing; Ioannis G. Kevrekidis (CoRR, 2020)

Coarse-grained and Emergent Distributed Parameter Systems from Data. - Hassan Arbabi; Felix P. Kemeth; Tom Bertalan; Ioannis G. Kevrekidis (ACC, 2021)

Initializing LSTM internal states via manifold learning. - Felix P. Kemeth; Tom Bertalan; Nikolaos Evangelou; Tianqi Cui; Saurabh Malani; Ioannis G. Kevrekidis (CoRR, 2021)

Global Heteroclinic Rebel Dynamics Among Large 2-Clusters in Permutation Equivariant Systems. - Bernold Fiedler; Sindre W. Haugland; Felix P. Kemeth; Katharina Krischer (SIAM J. Appl. Dyn. Syst., 2021)

Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems. - Felix P. Kemeth; Sergio Alonso; Blas Echebarria; Ted Moldenhawer; Carsten Beta; Ioannis G. Kevrekidis (CoRR, 2022)