Jakob Burger - RankMe

15 papers A* 1Journal 14

Year	Rank	Type	Title / Venue / Authors
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`	Convex envelope method for T,p flash calculations for mixtures with an arbitrary number of components and arbitrary aggregate states. Comput. Chem. Eng. Quirin Göttl, Natalie Rosen, Jakob Burger
2025	J	`jnl`	Deep reinforcement learning enables conceptual design of processes for separating azeotropic mixtures without prior knowledge. Comput. Chem. Eng. Quirin Göttl, Jonathan Pirnay, Jakob Burger, Dominik G. Grimm
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	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
2024	J	`jnl`	GraphXForm: Graph transformer for computer-aided molecular design with application to extraction. CoRR Jonathan Pirnay, Jan G. Rittig, Alexander B. Wolf, Martin Grohe, Jakob Burger, Alexander Mitsos, Dominik G. Grimm
2023	J	`jnl`	Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components. Comput. Chem. Eng. Quirin Göttl, Jonathan Pirnay, Dominik G. Grimm, Jakob Burger
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
2023	J	`jnl`	Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge. CoRR Quirin Göttl, Jonathan Pirnay, Jakob Burger, Dominik G. Grimm
2023	A*	`conf`	Policy-Based Self-Competition for Planning Problems. ICLR Jonathan Pirnay, Quirin Göttl, Jakob Burger, Dominik Gerhard Grimm
2023	J	`jnl`	Policy-Based Self-Competition for Planning Problems. CoRR Jonathan Pirnay, Quirin Göttl, Jakob Burger, Dominik Gerhard Grimm
2022	J	`jnl`	Multi-objective optimization of equation of state molecular parameters: SAFT-VR Mie models for water. Comput. Chem. Eng. Edward J. Graham, Esther Forte, Jakob Burger, Amparo Galindo, George Jackson, Claire S. Adjiman
2021	J	`jnl`	Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning. CoRR Quirin Göttl, Dominik G. Grimm, Jakob Burger
2014	J	`jnl`	Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets. Comput. Chem. Eng. Michael Bortz, Jakob Burger, Norbert Asprion, Sergej Blagov, Roger Böttcher, U. Nowak, A. Scheithauer, Richard Welke, Karl-Heinz Küfer, Hans Hasse