Stephan Vogt

14 papers C 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations.
ECML/PKDD (2)
Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick
2025 J jnl
Time-series surrogates from energy consumers generated by machine learning approaches for long-term forecasting scenarios.
CoRR
Ben Gerhards, Nikita Popkov, Annekatrin König, Marcel Arpogaus, Bastian Schäfermeier, Leonie Riedl, Stephan Vogt, Philip Hehlert
2024 J jnl
Targeted adversarial attacks on wind power forecasts.
Mach. Learn.
René Heinrich, Christoph Scholz, Stephan Vogt, Malte Lehna
2023 J jnl
Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions.
Mach. Learn. Knowl. Extr.
Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick
2023 J jnl
Targeted Adversarial Attacks on Wind Power Forecasts.
CoRR
René Heinrich, Christoph Scholz, Stephan Vogt, Malte Lehna
2022 J jnl
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning.
CoRR
Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick
2022 J jnl
Synthetic Photovoltaic and Wind Power Forecasting Data.
CoRR
Stephan Vogt, Jens Schreiber, Bernhard Sick
2022 J jnl
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast.
CoRR
Jens Schreiber, Stephan Vogt, Bernhard Sick
2022 C conf
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting.
ICMLA
Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick
2021 — conf
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast.
ECML/PKDD (4)
Jens Schreiber, Stephan Vogt, Bernhard Sick
2021 — conf
The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models.
ACSOS-C
Christian Gruhl, Abdul Hannan, Zhixin Huang, Chandana Nivarthi, Stephan Vogt
2021 — conf
Uncertainty and Utility Sampling with Pre-Clustering.
IAL@PKDD/ECML
Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick
2020 J jnl
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets.
CoRR
Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick
2016 — conf
A review of deterministic error scores and normalization techniques for power forecasting algorithms.
SSCI
Andre Gensler, Bernhard Sick, Stephan Vogt