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Stephan Vogt
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2020 – today
- 2024
- [j2]René Heinrich
, Christoph Scholz
, Stephan Vogt
, Malte Lehna
:
Targeted adversarial attacks on wind power forecasts. Mach. Learn. 113(2): 863-889 (2024) - 2023
- [j1]Chandana Priya Nivarthi
, Stephan Vogt
, Bernhard Sick:
Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions. Mach. Learn. Knowl. Extr. 5(3): 1214-1233 (2023) - [i5]René Heinrich, Christoph Scholz, Stephan Vogt, Malte Lehna:
Targeted Adversarial Attacks on Wind Power Forecasts. CoRR abs/2303.16633 (2023) - 2022
- [c5]Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick:
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. ICMLA 2022: 1530-1536 - [i4]Stephan Vogt, Jens Schreiber, Bernhard Sick:
Synthetic Photovoltaic and Wind Power Forecasting Data. CoRR abs/2204.00411 (2022) - [i3]Jens Schreiber, Stephan Vogt, Bernhard Sick:
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast. CoRR abs/2204.13908 (2022) - [i2]Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick:
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. CoRR abs/2210.06112 (2022) - 2021
- [c4]Christian Gruhl, Abdul Hannan, Zhixin Huang, Chandana Nivarthi
, Stephan Vogt:
The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models. ACSOS-C 2021: 204-209 - [c3]Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick:
Uncertainty and Utility Sampling with Pre-Clustering. IAL@PKDD/ECML 2021: 21-34 - [c2]Jens Schreiber
, Stephan Vogt
, Bernhard Sick
:
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast. ECML/PKDD (4) 2021: 118-134 - 2020
- [i1]Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick:
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. CoRR abs/2010.05898 (2020)
2010 – 2019
- 2016
- [c1]Andre Gensler, Bernhard Sick
, Stephan Vogt:
A review of deterministic error scores and normalization techniques for power forecasting algorithms. SSCI 2016: 1-9
Coauthor Index
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