Publication list

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In review:

  1. Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis and Ronald R. Coifman, “LOCA: LOcal Conformal Autoencoder for standardized data coordinates,” submitted (2020). arXiv
  2. Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis, “A geometric approach to the transport of discontinuous densities,” submitted (2019), accepted in SIAM-UQ. arXiv
  3. Or Yair, Felix Dietrich, Ronen Talmon, and Ioannis G. Kevrekidis, “Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation,” submitted (2019). arXiv
  4. Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, and Ioannis G. Kevrekidis, “Spectral Discovery of Jointly Smooth Features for Multimodal Data,” submitted (2020). arXiv

2020

  1. Felix Dietrich, Mahdi Kooshkbaghi, Erik M. Bollt, and Ioannis G. Kevrekidis, “Manifold Learning for Organizing Unstructured Sets of Process Observations,” Chaos, 30, 043108. arXiv DOI
  2. Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis, “On the Koopman operator of algorithms,” SIAM J. Appl. Dyn. Syst., 19(2), 860–885. arXiv DOI

2019

  1. Tom Bertalan, Felix Dietrich, Igor Mezić, and Ioannis G. Kevrekidis, “On learning Hamiltonian systems from data,” Chaos, 29, 121107. arXiv DOI
  2. Seungjoon Lee, Felix Dietrich, George E. Karniadakis, and Ioannis G. Kevrekidis, “Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion,” Interface Focus, The Royal Society, 9, 20180083. DOI, arXiv
  3. Robert J. Lovelett, Felix Dietrich, Seungjoon Lee, and Ioannis G. Kevrekidis, “Some manifold learning considerations towards explicit model predictive control,” AIChE Journal (Wiley). arXiv DOI
  4. Daniel Lehmberg, Felix Dietrich, Ioannis G. Kevrekidis, Hans-Joachim Bungartz, Gerta Köster, “Exploring Koopman Operator Based Surrogate Models Accelerating Analysis of Critical Pedestrian Densities,” Traffic and Granular Flow (TGF) in Pamplona, Spain Conference talk (Daniel Lehmberg) (2019). Conference

2018

  1. Erik M. Bollt, Qianxiao Li, Felix Dietrich, Ioannis G. Kevrekidis, “On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions,” SIAM Journal on Applied Dynamical Systems, 17, 1925-1960. DOI
  2. Felix Dietrich, Florian Künzner, Tobias Neckel, Gerta Köster, Hans-Joachim Bungartz, “Fast and flexible uncertainty quantification through a data-driven surrogate model,” IJUQ, pp. 175-192. DOI
  3. Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, and Ioannis G. Kevrekidis, “An Emergent Space for Distributed Data with Hidden Internal Order through Manifold Learning,” IEEE Access, 6, pp. 77402-77413. DOI

2017

  1. Felix Dietrich, “Data-Driven Surrogate Models for Dynamical Systems,” PhD thesis, Technical University of Munich. mediaTUM PDF
  2. Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, and Ioannis G. Kevrekidis, “An Equal Space for Complex Data with Unknown Internal Order: Observability, Gauge Invariance and Manifold Learning,” arXiv
  3. Qianxiao Li, Felix Dietrich, Erik M. Bollt, and Ioannis G. Kevrekidis, “Extended dynamic mode decomposition with dictionary learning: a data-driven adaptive spectral decomposition of the Koopman operator,” Chaos, 27, 103111. DOI

2016

  1. Felix Dietrich, Florian Albrecht, and Gerta Köster: Surrogate Models for Bottleneck Scenarios. Proceedings of the 8th International Conference on Pedestrian and Evacuation Dynamics (PED2016), Springer. DOI
  2. Felix Dietrich, Gerta Köster, and Hans-Joachim Bungartz: Numerical Model Construction with Closed Observables. SIAM Journal on Applied Dynamical Systems, 15, pp. 2078-2108. DOI
  3. Michael J. Seitz, Felix Dietrich, Gerta Köster, and Hans-Joachim Bungartz: The superposition principle: A conceptual perspective on pedestrian stream simulations. Collective Dynamics, 1, A2. DOI

2015

  1. Michael J. Seitz, Felix Dietrich, and Gerta Köster: The effect of stepping on pedestrian trajectories. Physica A: Statistical Mechanics and its Applications, 421, 594-60. DOI
  2. Daniel H. Biedermann, Felix Dietrich, Oliver Handel, Peter M. Kielar, Michael Seitz: Using Raspberry Pi for scientific video observation of pedestrians during a music festival. Technical Report, TUM. PDF, arXiv
  3. Peter M. Kielar, Daniel H. Biedermann, and Felix Dietrich: Gentle Coupling of Pedestrian Behavior Model Implementations: a Pedestrian Simulator Interoperability Protocol. Forum Bau, TUM. PDF
  4. Felix Dietrich, Stefan Disselnkötter, and Gerta Köster: How to get a model in pedestrian dynamics to produce stop and go waves? Traffic and Granular Flow ’15, Springer International Publishing . DOI
  5. Gerta Köster, Daniel Lehmberg, and Felix Dietrich: Is slowing down enough to model movement on stairs? Traffic and Granular Flow ’15, Springer International Publishing. DOI
  6. Daniel H. Biedermann, Felix Dietrich, Oliver Handel, Peter M. Kielar, and Michael Seitz: Using Raspberry Pi for scientific video observation of pedestrians during a music festival. Technical Report, Technische Universität München. Link to MediaTUM

2014

  1. Michael J. Seitz, Felix Dietrich, and Gerta Köster: A study of pedestrian stepping behaviour for crowd simulation. The Conference in Pedestrian and Evacuation Dynamics 2014, 282-290. DOI
  2. Felix Dietrich and Gerta Köster: Gradient navigation model for pedestrian dynamics. Physical Review E, 89, 062801. DOI, arXiv
  3. Felix Dietrich, Gerta Köster, Michael Seitz, and Isabella von Sivers: Bridging the gap: From cellular automata to differential equation models for pedestrian dynamics. Journal of Computational Science, 5, 841-846. DOI

2013

  1. Patrina A. Pellett, Felix Dietrich, Jörg Bewersdorf, James E Rothman, Grégory Lavieu: Inter-Golgi transport mediated by COPI-containing vesicles carrying small cargoes. eLife, eLife Sciences Publications, Ltd., 2, e01296-e01296. DOI