Matthias Rupp

Orcid: 0000-0001-6359-5839

According to our database1, Matthias Rupp authored at least 27 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Mobility in pedestrian communication simulations: Impact of microscopic models and solutions for integration.
Comput. Commun., December, 2023

Code Generation for Machine Learning using Model-Driven Engineering and SysML.
CoRR, 2023

Heat flux for semi-local machine-learning potentials.
CoRR, 2023

Evaluation of the Effectiveness of Vulnerable Road User Clustering in C-V2X Systems.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

2022
Unified representation of molecules and crystals for machine learning.
Mach. Learn. Sci. Technol., December, 2022

Prioritization for Latency Reduction in 5G MEC-Based VRU Protection Systems.
Proceedings of the 18th International Conference on Wireless and Mobile Computing, 2022

2021
Coupling Microscopic Mobility and Mobile Network Emulation for Pedestrian Communication Applications.
CoRR, 2021

2020
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning.
CoRR, 2020

2019
Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization.
CoRR, 2019

2016
Geospatial Analysis of the Building Heat Demand and Distribution Losses in a District Heating Network.
ISPRS Int. J. Geo Inf., 2016

2015
Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals.
CoRR, 2015

2014
Machine Learning Estimates of Natural Product Conformational Energies.
PLoS Comput. Biol., 2014

Understanding Machine-learned Density Functionals.
CoRR, 2014

2012
DOGS: Reaction-Driven <i>de novo</i> Design of Bioactive Compounds.
PLoS Comput. Biol., 2012

Modeling of molecular atomization energies using machine learning.
J. Cheminformatics, 2012

Multi-task learning for pKa prediction.
J. Comput. Aided Mol. Des., 2012

Learning Invariant Representations of Molecules for Atomization Energy Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information.
J. Cheminformatics, 2011

Graph kernels for chemoinformatics - a critical discussion.
J. Cheminformatics, 2011

Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information.
J. Comput. Aided Mol. Des., 2011

Finding Density Functionals with Machine Learning
CoRR, 2011

2010
Kernel learning for ligand-based virtual screening: discovery of a new PPARγ agonist.
J. Cheminformatics, 2010

OCHEM - on-line CHEmical database & modeling environment.
J. Cheminformatics, 2010

Pharmacophore alignment search tool: Influence of canonical atom labeling on similarity searching.
J. Comput. Chem., 2010

2009
Distance phenomena in high-dimensional chemical descriptor spaces: Consequences for similarity-based approaches.
J. Comput. Chem., 2009

2008
Shapelets: Possibilities and limitations of shape-based virtual screening.
J. Comput. Chem., 2008

2007
Kernel Approach to Molecular Similarity Based on Iterative Graph Similarity.
J. Chem. Inf. Model., 2007


  Loading...