Guo, Yue, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, IoannisG. Kevrekidis, and Qianxiao Li. n.d. “Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators”. arXiv.Org, E-Print Arch., Math. Publisher’s Version: Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators.

Kemeth, Felix P., Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, and IoannisG. Kevrekidis. 2018. “An Emergent Space for Distributed Data With Hidden Internal Order through Manifold Learning”. IEEE Access 6: 77402-13. Publisher’s Version: An Emergent Space for Distributed Data with Hidden Internal Order through Manifold Learning.

Bertalan, Tom, Felix Dietrich, Igor Mesic, and IoannisG. Kevrekidis. 2019. “On Learning Hamiltonian Systems from Data”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-9. Publisher’s Version: On learning hamiltonian systems from data.

Bertalan, Tom, Felix Dietrich, Igor Mezić, and IoannisG. Kevrekidis. 2019. “On Learning Hamiltonian Systems from Data”. Chaos 29: 121107. Publisher’s Version: On learning Hamiltonian systems from data.

Lee, Seungjoon, Felix Dietrich, George E. Karniadakis, and IoannisG. Kevrekidis. 2019. “Linking Gaussian Process Regression With Data-Driven Manifold Embeddings for Nonlinear Data Fusion”. Interface Focus 9: 20180083. Publisher’s Version: Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion.

Dietrich, Felix, Mahdi Kooshkbaghi, Erik M. Bollt, and IoannisG. Kevrekidis. 2020. “Manifold Learning for Organizing Unstructured Sets of Process Observations”. Chaos 30: 043108. Publisher’s Version: Manifold learning for organizing unstructured sets of process observations.

Lovelett, Robert J., Felix Dietrich, Seungjoon Lee, and IoannisG. Kevrekidis. 2020. “Some Manifold Learning Considerations Toward Explicit Model Predictive Control”. AIChE J. 66. John Wiley & Sons, Inc.: e16881. Publisher’s Version: Some manifold learning considerations toward explicit model predictive control.

Peterfreund, Erez, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, IoannisG. Kevrekidis, and Ronald R. Coifman. 2020. “Local Conformal Autoencoder for Standardized Data Coordinates”. Proc. Natl. Acad. Sci. U. S. A. 117. National Academy of Sciences: 30918-27. Publisher’s Version: Local conformal autoencoder for standardized data coordinates.

Kemeth, Felix P., Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Qianxiao Li, Erik M. Bollt, Ronen Talmong, Katharina Krischer, and IoannisG. Kevrekidis. 2017. “An Equal Space for Complex Data With Unknown Internal Order: Observability, Gauge Invariance and Manifold Learning”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-11. Publisher’s Version: An equal space for complex data with unknown internal order: observability, gauge invariance and manifold learning.

Li, Qianxiao, Felix Dietrich, Erik M. Bollt, and IoannisG. Kevrekidis. 2017. “Extended Dynamic Mode Decomposition With Dictionary Learning: A Data-Driven Adaptive Spectral Decomposition of the Koopman Operator”. Chaos 27: 103111. Publisher’s Version: Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator.

Dietrich, Felix, Mahdi Kooshkbaghi, Erik M. Bollt, and IoannisG. Kevrekidis. 2018. “Manifold Learning for Bifurcation Diagram Observations”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-5. Publisher’s Version: Manifold learning for bifurcation diagram observations.