82 citations · 96 across the 5 of their papers we have counts for
8 papers
Track Seed Classification with Deep Neural Networks
Felix Dietrich
Future upgrades to the LHC will pose considerable challenges for traditional particle track reconstruction methods. We investigate how artificial Neural Networks and Deep Learning…
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices
Or Yair, Felix Dietrich, Ronen Talmon +1
In this paper, we address the problem of Domain Adaptation (DA) using Optimal Transport (OT) on Riemannian manifolds. We model the difference between two domains by a diffeomorphis…
Status of the undulator-based ILC positron source
Felix Dietrich, Gudrid Moortgat-Pick, Sabine Riemann +2
The design of the positron source for the International Linear Collider (ILC) is still under consideration. The baseline design plans to use the electron beam for the positron prod…
Some manifold learning considerations towards explicit model predictive control
Robert J. Lovelett, Felix Dietrich, Seungjoon Lee +1
Model predictive control (MPC) is a de facto standard control algorithm across the process industries. There remain, however, applications where MPC is impractical because an optim…
Manifold Learning for Organizing Unstructured Sets of Process Observations
Felix Dietrich, Mahdi Kooshkbaghi, Erik M. Bollt +1
Data mining is routinely used to organize ensembles of short temporal observations so as to reconstruct useful, low-dimensional realizations of an underlying dynamical system. In t…
The ILC positron target cooled by thermal radiation
Sabine Riemann, Felix Dietrich, Gudrid Moortgat-Pick +2
The design of the conversion target for the undulator-based ILC positron source is still under development. One important issue is the cooling of the target. Here, the status of th…
Derivation of higher-order terms in FFT-based numerical homogenization
Felix Dietrich, Dennis Merkert, Bernd Simeon
In this paper, we first introduce the reader to the Basic Scheme of Moulinec and Suquet in the setting of quasi-static linear elasticity, which takes advantage of the fast Fourier…
Gradient Navigation Model for Pedestrian Dynamics
Felix Dietrich, Gerta Köster
We present a new microscopic ODE-based model for pedestrian dynamics: the Gradient Navigation Model. The model uses a superposition of gradients of distance functions to directly c…