Fabian Jirasek

According to our database, Fabian Jirasek authored at least 28 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection.

Jennifer Werner, Justus Arweiler, Indra Jungjohann, Jochen Schmid, Fabian Jirasek, Hans Hasse, Michael Bortz

CoRR, April, 2026

Hybrid Machine Learning for Enhanced Prediction of Diffusion Coefficients in Liquids.

Jens Wagner, Zeno Romero, Kerstin Münnemann, Sebastian Schmitt, Thomas Specht, Hans Hasse, Fabian Jirasek

CoRR, March, 2026

Prediction of Diffusion Coefficients in Mixtures with Tensor Completion.

Zeno Romero, Kerstin Münnemann, Hans Hasse, Fabian Jirasek

CoRR, February, 2026

CHAOS - A Large-scale Database for σ-Profiles and Other Molecular Descriptors.

Dominik Gond, Justus Arweiler, Thomas Specht, Hans Hasse, Fabian Jirasek

J. Chem. Inf. Model., 2026

Using large language models for solving textbook-style thermodynamic problems.

Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse

Comput. Chem. Eng., 2026

2025

Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods.

Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan, Heike Leitte, Jakob Burger, Kerstin Münnemann, Fabian Jirasek, Hans Hasse

CoRR, October, 2025

Formally Exploring Time-Series Anomaly Detection Evaluation Metrics.

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

CoRR, October, 2025

DiffStyleTS: Diffusion Model for Style Transfer in Time Series.

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

CoRR, October, 2025

A machine-learned expression for the excess Gibbs energy.

Marco Hoffmann, Thomas Specht, Quirin Göttl, Jakob Burger, Stephan Mandt, Hans Hasse, Fabian Jirasek

CoRR, September, 2025

Superstudent intelligence in thermodynamics.

Rébecca Loubet, Pascal Zittlau, Marco Hoffmann, Luisa Vollmer, Sophie Fellenz, Heike Leitte, Fabian Jirasek, Johannes Lenhard, Hans Hasse

CoRR, June, 2025

MLPROP - an open interactive web interface for thermophysical property prediction with machine learning.

Marco Hoffmann, Thomas Specht, Nicolas Hayer, Hans Hasse, Fabian Jirasek

CoRR, April, 2025

Using Large Language Models for Solving Thermodynamic Problems.

Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse

CoRR, February, 2025

GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures.

Marco Hoffmann, Hans Hasse, Fabian Jirasek

CoRR, January, 2025

Style Transfer for High-Fidelity Time Series Augmentation.

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection.

Dennis Wagner, Fabian Hartung, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Arjun Nair, Steffen Reithermann, Ralf Schulz, Michael Bortz, Daniel Neider, Heike Leitte, Joachim Pfeffinger, Stephan Mandt, Sophie Fellenz, Torsten Katz, Fabian Jirasek, Jakob Burger, Hans Hasse, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Enabling Transparent Problem Solving in Thermodynamics with Ontologies and Knowledge Graphs.

Luisa Vollmer, Rébecca Loubet, Fabian Jirasek, Sophie Fellenz, Hans Hasse, Heike Leitte

Proceedings of the Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located with 22nd Extended Semantic Web Conference (ESWC 2025), 2025

2024

KnowTD─An Actionable Knowledge Representation System for Thermodynamics.

Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse

J. Chem. Inf. Model., 2024

Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures.

Dominik Gond, Jan-Tobias Sohns, Heike Leitte, Hans Hasse, Fabian Jirasek

CoRR, 2024

SetPINNs: Set-based Physics-informed Neural Networks.

Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Marius Kloft, Sophie Fellenz

CoRR, 2024

Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0.

Nicolas Hayer, Thorsten Wendel, Stephan Mandt, Hans Hasse, Fabian Jirasek

CoRR, 2024

HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction.

Thomas Specht, Mayank Nagda, Sophie Fellenz, Stephan Mandt, Hans Hasse, Fabian Jirasek

CoRR, 2024

Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties.

Johannes Zenn, Dominik Gond, Fabian Jirasek, Robert Bamler

CoRR, 2024

Visual Scalar Matrix Evaluation: An Application to Thermodynamics.

Jan-Tobias Sohns, Dominik Gond, Fabian Jirasek, Hans Hasse, Heike Leitte

Proceedings of the Gap between Visualization Research and Visualization Software, 2024

A Benchmark Suite for Verifying Neural Anomaly Detectors in Distillation Processes.

Simon Lutz, Justus Arweiler, Aparna Muraleedharan, Niklas Kahlhoff, Fabian Hartung, Indra Jungjohann, Mayank Nagda, Daniel Reinhardt, Dennis Wagner, Jennifer Werner, Justus C. Will, Jakob Burger, Michael Bortz, Hans Hasse, Sophie Fellenz, Fabian Jirasek, Marius Kloft, Heike Leitte, Stephan Mandt, Steffen Reithermann, Jochen Schmid, Daniel Neider

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

Deep Anomaly Detection on Tennessee Eastman Process Data.

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

CoRR, 2023

2022

Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data.

Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte

IEEE Trans. Vis. Comput. Graph., 2022

2021

Automated Methods for Identification and Quantification of Structural Groups from Nuclear Magnetic Resonance Spectra Using Support Vector Classification.

Thomas Specht, Kerstin Münnemann, Hans Hasse, Fabian Jirasek

J. Chem. Inf. Model., 2021

Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data.

Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte

CoRR, 2021