Felix P. Kemeth

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 12

Top Topics

Manifold Learning

Multilabel Classification

Top Venues

SIAM J. Appl. Dyn. Syst.

Publications

Felix P. Kemeth, Sergio Alonso, Blas Echebarria, Ted Moldenhawer, Carsten Beta, Ioannis G. Kevrekidis
Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems. CoRR (2022)
Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis
Initializing LSTM internal states via manifold learning. CoRR (2021)
Bernold Fiedler, Sindre W. Haugland, Felix P. Kemeth, Katharina Krischer
Global Heteroclinic Rebel Dynamics Among Large 2-Clusters in Permutation Equivariant Systems. SIAM J. Appl. Dyn. Syst. 20 (3) (2021)
Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
Coarse-grained and Emergent Distributed Parameter Systems from Data. ACC (2021)
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. ICASSP (2020)
Maximilian P. Oppelt, Maximilian Riehl, Felix P. Kemeth, Jan Steffan
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification. CoRR (2020)
Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
Coarse-grained and emergent distributed parameter systems from data. CoRR (2020)
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. CoRR (2020)
Maximilian Seitzer, Andreas Foltyn, Felix P. Kemeth
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps. CoRR (2020)
Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
Learning emergent PDEs in a learned emergent space. CoRR (2020)
Maximilian P. Oppelt, Maximilian Riehl, Felix P. Kemeth, Jan Steffan
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification. CinC (2020)
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access 6 (2018)