Fabian Jirasek

24 papers Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hybrid Machine Learning for Enhanced Prediction of Diffusion Coefficients in Liquids. CoRR Jens Wagner, Zeno Romero, Kerstin Münnemann, Sebastian Schmitt, Thomas Specht, Hans Hasse, Fabian Jirasek
2026	J	`jnl`	Prediction of Diffusion Coefficients in Mixtures with Tensor Completion. CoRR Zeno Romero, Kerstin Münnemann, Hans Hasse, Fabian Jirasek
2026	J	`jnl`	Using large language models for solving textbook-style thermodynamic problems. Comput. Chem. Eng. Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2025	J	`jnl`	A machine-learned expression for the excess Gibbs energy. CoRR Marco Hoffmann, Thomas Specht, Quirin Göttl, Jakob Burger, Stephan Mandt, Hans Hasse, Fabian Jirasek
2025	J	`jnl`	Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods. CoRR Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan, Heike Leitte, Jakob Burger, Kerstin Münnemann, Fabian Jirasek, Hans Hasse
2025	J	`jnl`	DiffStyleTS: Diffusion Model for Style Transfer in Time Series. CoRR Mayank Nagda, Phil Ostheimer, Justus Arweiler, Indra Jungjohann, Jennifer Werner, Dennis Wagner, Aparna Muraleedharan, Pouya Jafari, Jochen Schmid, Fabian Jirasek, Jakob Burger, Michael Bortz, Hans Hasse, Stephan Mandt, Marius Kloft, Sophie Fellenz
2025	—	`conf`	Enabling Transparent Problem Solving in Thermodynamics with Ontologies and Knowledge Graphs. ESWC-JP Luisa Vollmer, Rébecca Loubet, Fabian Jirasek, Sophie Fellenz, Hans Hasse, Heike Leitte
2025	J	`jnl`	Formally Exploring Time-Series Anomaly Detection Evaluation Metrics. CoRR Dennis Wagner, Arjun Nair, Billy Joe Franks, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Fabian Hartung, Mayank C. Ahuja, Andriy Balinskyy, Saurabh Varshneya, Nabeel Hussain Syed, Mayank Nagda, Philipp Liznerski, Steffen Reithermann, Maja Rudolph, Sebastian J. Vollmer, Ralf Schulz, Torsten Katz, Stephan Mandt, Michael Bortz, Heike Leitte, Daniel Neider, Jakob Burger, Fabian Jirasek, Hans Hasse, Sophie Fellenz, Marius Kloft
2025	J	`jnl`	GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures. CoRR Marco Hoffmann, Hans Hasse, Fabian Jirasek
2025	J	`jnl`	MLPROP - an open interactive web interface for thermophysical property prediction with machine learning. CoRR Marco Hoffmann, Thomas Specht, Nicolas Hayer, Hans Hasse, Fabian Jirasek
2025	J	`jnl`	Superstudent intelligence in thermodynamics. CoRR Rébecca Loubet, Pascal Zittlau, Marco Hoffmann, Luisa Vollmer, Sophie Fellenz, Heike Leitte, Fabian Jirasek, Johannes Lenhard, Hans Hasse
2025	J	`jnl`	Using Large Language Models for Solving Thermodynamic Problems. CoRR Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2024	J	`jnl`	Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0. CoRR Nicolas Hayer, Thorsten Wendel, Stephan Mandt, Hans Hasse, Fabian Jirasek
2024	J	`jnl`	Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties. CoRR Johannes Zenn, Dominik Gond, Fabian Jirasek, Robert Bamler
2024	J	`jnl`	HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction. CoRR Thomas Specht, Mayank Nagda, Sophie Fellenz, Stephan Mandt, Hans Hasse, Fabian Jirasek
2024	J	`jnl`	Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures. CoRR Dominik Gond, Jan-Tobias Sohns, Heike Leitte, Hans Hasse, Fabian Jirasek
2024	J	`jnl`	KnowTD-An Actionable Knowledge Representation System for Thermodynamics. CoRR Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2024	J	`jnl`	KnowTD─An Actionable Knowledge Representation System for Thermodynamics. J. Chem. Inf. Model. Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2024	J	`jnl`	SetPINNs: Set-based Physics-informed Neural Networks. CoRR Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Marius Kloft, Sophie Fellenz
2024	—	`conf`	Visual Scalar Matrix Evaluation: An Application to Thermodynamics. VisGap@EuroVis Jan-Tobias Sohns, Dominik Gond, Fabian Jirasek, Hans Hasse, Heike Leitte
2023	J	`jnl`	Deep Anomaly Detection on Tennessee Eastman Process Data. CoRR Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Klöpper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft
2022	J	`jnl`	Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte
2021	J	`jnl`	Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data. CoRR Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte
2021	J	`jnl`	Automated Methods for Identification and Quantification of Structural Groups from Nuclear Magnetic Resonance Spectra Using Support Vector Classification. J. Chem. Inf. Model. Thomas Specht, Kerstin Münnemann, Hans Hasse, Fabian Jirasek