activity
20122025
most citedPredictive Collective Variable Discovery with Deep Bayesian Models

40 citations · 75 across the 6 of their papers we have counts for

collaborators

6 papers

math.DS2025

On Triangular Forms for x-Flat Control-Affine Systems With Two Inputs

Georg Hartl, Conrad Gstöttner, Markus Schöberl

This paper examines a broadly applicable triangular normal form for x-flat control-affine systems with two inputs. First, we show that this triangular form encompasses a wide range…

math.DG2020★ 23 cited

A Trajectory-Based Approach to Discrete-Time Flatness

Johannes Diwold, Bernd Kolar, Markus Schöberl

For discrete-time systems, flatness is usually defined by replacing the time-derivatives of the well-known continuous-time definition by forward-shifts. With this definition, the c…

math.OC2020★ 7 cited

Stability Analysis of the Observer Error of an In-Domain Actuated Vibrating String

Tobias Malzer, Hubert Rams, Bernd Kolar +1

In this paper, the behaviour of the observer error of an in-domain actuated vibrating string, where the observer system has been designed based on energy considerations exploiting…

cs.LG2020★ 1 cited

Embedded-physics machine learning for coarse-graining and collective variable discovery without data

Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis

We present a novel learning framework that consistently embeds underlying physics while bypassing a significant drawback of most modern, data-driven coarse-grained approaches in th…

stat.ML2018★ 40 cited

Predictive Collective Variable Discovery with Deep Bayesian Models

Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis

Extending spatio-temporal scale limitations of models for complex atomistic systems considered in biochemistry and materials science necessitates the development of enhanced sampli…

math.OC2012★ 4 cited

On an intrinsic formulation of time-variant Port Hamiltonian systems

Markus Schöberl, Kurt Schlacher

In this contribution we present an intrinsic description of time-variant Port Hamiltonian systems as they appear in modeling and control theory. This formulation is based on the sp…