Philipp Väth

According to our database, Philipp Väth authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

Sugar-Beet Stress Detection Using Satellite Image Time Series.

Bhumika Laxman Sadbhave, Philipp Väth, Denise Dejon, Gunther Schorcht, Magda Gregorová

Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, 2026

2025

Diffusion Classifier Guidance for Non-robust Classifiers.

Philipp Väth, Dibyanshu Kumar, Benjamin Paassen, Magda Gregorová

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Loss Functions in Diffusion Models: A Comparative Study.

Dibyanshu Kumar, Philipp Väth, Magda Gregorová

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability.

Philipp Väth, Alexander M. Frühwald, Benjamin Paassen, Magda Gregorova

CoRR, 2024

GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling.

Philipp Väth, Alexander M. Frühwald, Benjamin Paassen, Magda Gregorova

CoRR, 2024

2023

How Important is the Temporal Context to Anticipate Oncoming Vehicles at Night?

Lukas Ewecker, Timo Winkler, Philipp Väth, Robin Schwager, Tim Brühl, Frank-Michael Schleif

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Diffusion-Based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation.

Philipp Väth, Alexander M. Frühwald, Benjamin Paassen, Magda Gregorova

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2021

Scalable embedding of multiple perspectives for indefinite life-science data analysis.

Maximilian Münch, Simon Heilig, Philipp Väth, Frank-Michael Schleif

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks.

Christoph Raab, Philipp Väth, Peter Meier, Frank-Michael Schleif

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020