We investigate the role of the thermodynamic (TD) force, as an essential and sufficient technical ingredient for an efficient and accurate adaptive r…

Industrial control systems (ICS) are managed remotely with the help of dedicated protocols that were originally designed to work in walled gardens. M…

The scientific paper output of the United Nations University (UNU) was bibliometrically analysed.It was found that (i) a noticeable continous paper o…

As one of the most popular south-bound protocol of software-defined networking(SDN), OpenFlow decouples the network control from forwarding devices. …

We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary user-supplied functions, which can be applied to man…

We propose a deep generative Markov State Model (DeepGenMSM) learning framework for inference of metastable dynamical systems and prediction of traje…

We consider the computational versions of the Erd\H os-Szekeres theorem and related problems in 3 dimensions. We show that, in constrast to the plana…

Quality assessments of models in unsupervised learning and clustering verification in particular have been a long-standing problem in the machine lea…

It is well-known that the Pachner graph of triangulated n-vertex 2-spheres is connected, i.e., each pair of n-vertex 2-spheres can be turned into eac…

Direct simulation of biomolecular dynamics in thermal equilibrium is challenging due to the metastable nature of conformation dynamics and the comput…

The process of RNA base fraying (i.e. the transient opening of the termini of a helix) is involved in many aspects of RNA dynamics. We here use molec…

We investigate the breakdown of normal hyperbolicity of a manifold of equilibria of a flow. In contrast to classical bifurcation theory we assume the…

Molecular dynamics (MD) simulations can model the interactions between macromolecules with high spatiotemporal resolution but at a high computational…

The problem of decomposing networks into modules (or clusters) has gained much attention in recent years, as it can account for a coarse-grained desc…

Markov state models (MSMs) have been successful in computing metastable states, slow relaxation timescales and associated structural changes, and sta…

We present a simple and computationally efficient coarse-grained and solvent-free model for simulating lipid bilayer membranes. In order to be used i…

We present a novel machine learning approach to understanding conformation dynamics of biomolecules. The approach combines kernel-based techniques th…

Without loss of generality we can assume that \textupH0(OX) is k, so that, in particular, X is inflexible (see 1.3).

Let $X$ be a normal, connected and projective variety over an algebraically closed field $k$. It is known that a vector bundle $V$ on $X$ is essentia…

In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual ta…

mlpack is an open-source C++ machine learning library with an emphasis on speed and flexibility. Since its original inception in 2007, it has grown t…

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