Publikationen

dida versteht sich als ein Unternehmen an der Schnittstelle von Forschung und praktischer Anwendung des Maschinellen Lernens mit Wissenschaftlern aus europäischen Spitzenforschungseinrichtungen.

Hier eine Liste von Forschungs-Artikeln, zu denen unsere Machine Learning Scientists als Autoren bzw. Ko-Autoren beigetragen haben.
JahrForschungsbereichTitelJournalAutoren
2020Nichtparametrische StatistikOn data-driven choice of 𝜆 in nonparametric Gaussian regression via Propagation–Separation approachComputational Statistics & Data Analysis

Ewelina Fiebig

2020Algebraische TopologieA framework for geometric field theories and their classification in dimension one(submitted)

Matthias Ludewig,

Augusto Stoffel

2020Machine Learning TheorieSingular Value Decomposition of Operators on Reproducing Kernel Hilbert SpacesAdvances in Dynamics, Optimization and Computation (book chapter)

Mattes Mollenhauer,

Ingmar Schuster,

Stefan Klus,

Christof Schütte

2020Nichtparametrische StatistikKernel Conditional Density OperatorsAISTATS 2020

Ingmar Schuster,

Mattes Mollenhauer,

Stefan Klus,

Krikamol Muandet

2020Statistik, Machine Learning TheorieVarGrad: A Low-Variance Gradient Estimator for Variational InferenceAdvances in Neural Information Processing Systems

Lorenz Richter,

Ayman Boustati,

Nikolas Nüsken,

Francisco J. R. Ruiz,

Ömer Deniz Akyildiz

2020Stochastische ProzesseModel Order Reduction for (Stochastic-) Delay Equations With Error Bounds(submitted)

Simon Becker,

Lorenz Richter

2020Stochastische ProzesseKernel autocovariance operators of stationary processes: Estimation and convergence(submitted)

Mattes Mollenhauer,

Stefan Klus,

Christof Schütte,

Péter Koltai

2020Stochastische Prozesse, Optimale Steuerung, PDEsSolving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space(submitted)

Nikolas Nüsken,

Lorenz Richter

2019Angewandte TopologieThe Conley index for discrete dynamical systems and the mapping torusJournal of Applied and Computational Topology

Frank Weilandt

2019Quantum physicsQuantum rolling frictionPhysical review letters

Francesco Intravaia,

Marty Oelschläger,

Daniel Reiche,

Diego A. R. Dalvit,

Kurt Busch

2019Quantum physicsExtended hydrodynamic description for nonequilibrium atom-surface interactionsJOSA B

Daniel Reiche,

Marty Oelschläger,

Kurt Busch,

Francesco Intravaia

2019Nichtlineare Dynamik, Machine Learning TheorieKernel methods for detecting coherent structures in dynamical dataChaos: An Interdisciplinary Journal of Nonlinear Science

Stefan Klus,

Brooke E. Husic,

Mattes Mollenhauer,

Frank Noé

2019Statistische PhysikVariational approach to rare event simulation using least-squares regressionChaos

Carsten Hartmann,

Omar Kebiri,

Lara Neureither,

Lorenz Richter

2019Stochastische ProzesseFeedback control theory & Model order reduction for stochastic equations(submitted)

Simon Becker,

Carsten Hartmann,

Martin Redmann,

Lorenz Richter

2018Algebraische Geometrie, HochenergiephysikToric geometry and regularization of Feynman integrals(unpublished)

Konrad Schultka

2018Algebraische TopologieSupersymmetric field theories from twisted vector bundlesCommunications in Mathematical Physics

Augusto Stoffel

2018Quantum physicsNonequilibrium atom-surface interaction with lossy multilayer structuresPhysical Review A

Marty Oelschläger,

Kurt Busch,

Francesco Intravaia

2018Theoretische PhysikHolographic Gauged NJL Model: the Conformal Window and Ideal WalkingPhysical Review D

Kazem Bitaghsir Fadafan,

William Clemens,

Nick Evans

2017Algebraische TopologieDimensional reduction and the equivariant Chern characterAlgebraic and Geometric Topology

Augusto Stoffel

2017Statistische PhysikVariational characterization of free energy: Theory and algorithmsEntropy

Carsten Hartmann,

Lorenz Richter,

Christof Schütte,

Wei Zhang

2017Theoretische PhysikA Holographic Study of the Gauged NJL ModelPhysical Letters B

William Clemens,

Nick Evans

2017Theoretische PhysikHolograms of a Dynamical Top QuarkPhysical Review D

William Clemens,

Nick Evans,

Marc Scott

2016Rechnergestützte dynamische SystemeDiscretization strategies for computing Conley indices and Morse decompositions of flowsJournal of Computational Dynamics

Konstantin Mischaikow,

Marian Mrozek,

Frank Weilandt

2016Computational NeuroscienceMechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell typesFrontiers in Computational Neuroscience

Petar Tomov,

Rodrigo F. O. Pena,

Antonio C. Roque,

Michael A. Zaks

2016Nichtlineare DynamikOnset of time dependence in ensembles of excitable elements with global repulsive couplingPhysical Review E

Michael A. Zaks,

Petar Tomov

2015Rechnergestützte dynamische SystemeA topological approach to the algorithmic computation of the Conley index for Poincaré mapsSIAM Journal on Applied Dynamical Systems

Marian Mrozek,

Roman Srzednicki,

Frank Weilandt

2014Computational NeuroscienceSustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell typesFrontiers in Computational Neuroscience

Petar Tomov,

Rodrigo F. O. Pena,

Michael A. Zaks,

Antonio C. Roque