Publications

dida regards itself as a company at the interface of scientific research and the practical application of Machine Learning, with scientists from well-known international research institutions.

Here we list academic papers that our Machine Learning Scientists have written or contributed to.
YearResearch fieldTitleJournalAuthors
2020Nonparametric statisticsOn data-driven choice of ­Łťć in nonparametric Gaussian regression via PropagationÔÇôSeparation approachComputational Statistics & Data Analysis

Ewelina Fiebig

2020Algebraic topologyA framework for geometric field theories and their classification in dimension one(submitted)

Matthias Ludewig,

Augusto Stoffel

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

Mattes Mollenhauer,

Ingmar Schuster,

Stefan Klus,

Christof Sch├╝tte

2020Nonparametric statisticsKernel Conditional Density OperatorsAISTATS 2020

Ingmar Schuster,

Mattes Mollenhauer,

Stefan Klus,

Krikamol Muandet

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

Lorenz Richter,

Ayman Boustati,

Nikolas N├╝sken,

Francisco J. R. Ruiz,

├ľmer Deniz Akyildiz

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

Simon Becker,

Lorenz Richter

2020Stochastic processesKernel autocovariance operators of stationary processes: Estimation and convergence(submitted)

Mattes Mollenhauer,

Stefan Klus,

Christof Sch├╝tte,

P├ęter Koltai

2020Stochastic processes, Optimal control, PDEsSolving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space(submitted)

Nikolas N├╝sken,

Lorenz Richter

2019Applied topologyThe 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 Oelschl├Ąger,

Daniel Reiche,

Diego A. R. Dalvit,

Kurt Busch

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

Daniel Reiche,

Marty Oelschl├Ąger,

Kurt Busch,

Francesco Intravaia

2019Nonlinear dynamics, Machine Learning TheoryKernel methods for detecting coherent structures in dynamical dataChaos: An Interdisciplinary Journal of Nonlinear Science

Stefan Klus,

Brooke E. Husic,

Mattes Mollenhauer,

Frank No├ę

2019Statistical physicsVariational approach to rare event simulation using least-squares regressionChaos

Carsten Hartmann,

Omar Kebiri,

Lara Neureither,

Lorenz Richter

2019Stochastic processesFeedback control theory & Model order reduction for stochastic equations(submitted)

Simon Becker,

Carsten Hartmann,

Martin Redmann,

Lorenz Richter

2018Algebraic geometry, High energy physicsToric geometry and regularization of Feynman integrals(unpublished)

Konrad Schultka

2018Algebraic topologySupersymmetric field theories from twisted vector bundlesCommunications in Mathematical Physics

Augusto Stoffel

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

Marty Oelschl├Ąger,

Kurt Busch,

Francesco Intravaia

2018Theoretical PhysicsHolographic Gauged NJL Model: the Conformal Window and Ideal WalkingPhysical Review D

Kazem Bitaghsir Fadafan,

William Clemens,

Nick Evans

2017Algebraic topologyDimensional reduction and the equivariant Chern characterAlgebraic and Geometric Topology

Augusto Stoffel

2017Statistical physicsVariational characterization of free energy: Theory and algorithmsEntropy

Carsten Hartmann,

Lorenz Richter,

Christof Sch├╝tte,

Wei Zhang

2017Theoretical PhysicsA Holographic Study of the Gauged NJL ModelPhysical Letters B

William Clemens,

Nick Evans

2017Theoretical PhysicsHolograms of a Dynamical Top QuarkPhysical Review D

William Clemens,

Nick Evans,

Marc Scott

2016Computational Dynamical SystemsDiscretization 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

2016Nonlinear dynamicsOnset of time dependence in ensembles of excitable elements with global repulsive couplingPhysical Review E

Michael A. Zaks,

Petar Tomov

2015Computational Dynamical SystemsA topological approach to the algorithmic computation of the Conley index for Poincar├ę 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