Search Results - "Kemeth, Felix P."
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1
Learning emergent partial differential equations in a learned emergent space
Published in Nature communications (09-06-2022)“…We propose an approach to learn effective evolution equations for large systems of interacting agents. This is demonstrated on two examples, a well-studied…”
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2
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks
Published in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2020)“…Cardiovascular diseases are the most common cause of mortality worldwide. Detection of atrial fibrillation (AF) in the asymptomatic stage can help prevent…”
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Conference Proceeding -
3
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning
Published in IEEE access (2018)“…Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations;…”
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4
Symmetries of Chimera States
Published in Physical review letters (25-05-2018)“…Symmetry broken states arise naturally in oscillatory networks. In this Letter, we investigate chaotic attractors in an ensemble of four mean-coupled…”
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5
2-Cluster fixed-point analysis of mean-coupled Stuart-Landau oscillators in the center manifold
Published in Journal of physic, complexity (01-06-2021)“…We reduce the dynamics of an ensemble of mean-coupled Stuart-Landau oscillators close to the synchronized solution. In particular, we map the system onto the…”
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6
An explanation of how mutant and wild-type mitochondria might stably co-exist in inherited mitochondrial diseases
Published in PNAS nexus (01-09-2022)“…Mitochondria are cellular organelles of crucial relevance for the survival of metazoan organisms. Damage to the mitochondrial DNA can give rise to a variety of…”
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7
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
Published in 2020 Computing in Cardiology (13-09-2020)“…An essential part for the accurate classification of electrocardiogram (ECG) signals is the extraction of informative yet general features, which are able to…”
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Conference Proceeding -
8
Coarse-grained and Emergent Distributed Parameter Systems from Data
Published in 2021 American Control Conference (ACC) (25-05-2021)“…We explore the derivation of distributed parameter system evolution laws (and in particular, partial differential operators and associated partial differential…”
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Conference Proceeding -
9
Data-driven cold starting of good reservoirs
Published in Physica. D (01-12-2024)“…Using short histories of observations from a dynamical system, a workflow for the post-training initialization of reservoir computing systems is described…”
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NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps
Published 27-02-2020“…This report to our stage 2 submission to the NeurIPS 2019 disentanglement challenge presents a simple image preprocessing method for learning disentangled…”
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11
Data-driven cold starting of good reservoirs
Published 15-03-2024“…Using short histories of observations from a dynamical system, a workflow for the post-training initialization of reservoir computing systems is described…”
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Journal Article -
12
2-Cluster Fixed-Point Analysis of Mean-Coupled Stuart-Landau Oscillators in the Center Manifold
Published 16-02-2021“…J. Phys. Complex. 2 025005 (2021) We reduce the dynamics of an ensemble of mean-coupled Stuart-Landau oscillators close to the synchronized solution. In…”
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13
Lyapunov Analysis of Chimera States in Globally Coupled Stuart-Landau oscillators
Published 01-05-2019“…Phys. Rev. E 100, 022217 (2019) Oscillatory systems with long-range or global coupling offer promising insight into the interplay between high-dimensional (or…”
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14
Coarse-grained and emergent distributed parameter systems from data
Published 16-11-2020“…We explore the derivation of distributed parameter system evolution laws (and in particular, partial differential operators and associated partial differential…”
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Journal Article -
15
Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems
Published 08-07-2022“…We present a data-driven approach to learning surrogate models for amplitude equations, and illustrate its application to interfacial dynamics of phase field…”
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16
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
Published 15-10-2020“…An essential part for the accurate classification of electrocardiogram (ECG) signals is the extraction of informative yet general features, which are able to…”
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Journal Article -
17
Global heteroclinic rebel dynamics among large 2-clusters in permutation equivariant systems
Published 16-08-2020“…We explore equivariant dynamics under the symmetric group $S_N$ of all permutations of $N$ elements. Specifically we study one-parameter vector fields, up to…”
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18
Questionnaires to PDEs: From Disorganized Data to Emergent Generative Dynamic Models
Published 25-04-2022“…Starting with sets of disorganized observations of spatially varying and temporally evolving systems, obtained at different (also disorganized) sets of…”
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Global and Local Reduced Models for Interacting, Heterogeneous Agents
Published 19-05-2021“…Large collections of coupled, heterogeneous agents can manifest complex dynamical behavior presenting difficulties for simulation and analysis. However, if the…”
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20
Initializing LSTM internal states via manifold learning
Published 12-05-2021“…We present an approach, based on learning an intrinsic data manifold, for the initialization of the internal state values of LSTM recurrent neural networks,…”
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