Stephan Vogt

According to our database, Stephan Vogt authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

Targeted adversarial attacks on wind power forecasts.

René Heinrich, Christoph Scholz, Stephan Vogt, Malte Lehna

Mach. Learn., February, 2024

2022

Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning.

Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick

CoRR, 2022

Synthetic Photovoltaic and Wind Power Forecasting Data.

Stephan Vogt, Jens Schreiber, Bernhard Sick

CoRR, 2022

Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting.

Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast.

Jens Schreiber, Stephan Vogt, Bernhard Sick

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Uncertainty and Utility Sampling with Pre-Clustering.

Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models.

Christian Gruhl, Abdul Hannan, Zhixin Huang, Chandana Nivarthi, Stephan Vogt

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020

Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets.

Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick

CoRR, 2020

2016

A review of deterministic error scores and normalization techniques for power forecasting algorithms.

Andre Gensler, Bernhard Sick, Stephan Vogt

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016