activity
20162026
most citedApproximative Policy Iteration for Exit Time Feedback Control Problems driven by Stochastic Differential Equations using Tensor Train format

2 citations · 3 across the 7 of their papers we have counts for

collaborators

8 papers

math.NA2026

Closed-Loop Generative Selection: Convergence, Memory, and Noisy Oracles

Konstantin Fackeldey, Christof Schütte

Closed-loop generative selection has become a workhorse of computational drug discovery: a learned generative model proposes candidate molecules, a fitness oracle scores them, the…

math.GM2022

Qualitative Euclidean embedding of Disjoint Sets of Points

N. Alexia Raharinirina, Konstantin Fackeldey, Marcus Weber

We consider two disjoint sets of points. If at least one of the sets can be embedded into an Euclidean space, then we provide sufficient conditions for the two sets to be jointly e…

cs.AI2022★ 1 cited

The Mathematics of Comparing Objects

Marcus Weber, Konstantin Fackeldey

"After reading two different crime stories, an artificial intelligence concludes that in both stories the police has found the murderer just by random." -- To what extend and under…

cs.CL2020

The Complexity of Comparative Text Analysis -- "The Gardener is always the Murderer" says the Fourth Machine

Marcus Weber, Konstantin Fackeldey

There is a heated debate about how far computers can map the complexity of text analysis compared to the abilities of the whole team of human researchers. A "deep" analysis of a gi…

math.OC2020★ 2 cited

Approximative Policy Iteration for Exit Time Feedback Control Problems driven by Stochastic Differential Equations using Tensor Train format

Konstantin Fackeldey, Mathias Oster, Leon Sallandt +1

We consider a stochastic optimal exit time feedback control problem. The Bellman equation is solved approximatively via the Policy Iteration algorithm on a polynomial ansatz space…

math.NA2020

Analyzing Raman Spectral Data without Separability Assumption

Konstantin Fackeldey, Jonas Röhm, Amir Niknejad +2

Raman spectroscopy is a well established tool for the analysis of vibration spectra, which then allow for the determination of individual substances in a chemical sample, or for th…