Andreas Stephan

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 20

Top Topics

Weakly Supervised

Portfolio Optimization

Top Venues

Publications

Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth
Text-Guided Alternative Image Clustering. CoRR (2024)
Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth
Text-Guided Image Clustering. CoRR (2024)
Lena Zellinger, Andreas Stephan, Benjamin Roth
Counterfactual Reasoning with Knowledge Graph Embeddings. EACL (1) (2024)
Vasiliki Kougia, Anastasiia Sedova, Andreas Stephan, Klim Zaporojets, Benjamin Roth
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. CoRR (2024)
Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth
Text-Guided Image Clustering. EACL (1) (2024)
Peter Dolog, Ylli Sadikaj, Yllka Velaj, Andreas Stephan, Benjamin Roth, Claudia Plant
The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. WWW (Companion Volume) (2024)
Lena Zellinger, Andreas Stephan, Benjamin Roth
Counterfactual Reasoning with Knowledge Graph Embeddings. CoRR (2024)
Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow
Weaker Than You Think: A Critical Look at Weakly Supervised Learning. ACL (1) (2023)
Andreas Baumann, Andreas Stephan, Benjamin Roth
Seeing through the mess: evolutionary dynamics of lexical polysemy. EMNLP (2023)
Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow
Weaker Than You Think: A Critical Look atWeakly Supervised Learning. CoRR (2023)
Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. IAL@PKDD/ECML (2023)
Maziar Sahamkhadam, Andreas Stephan, Ralf Östermark
Copula-based Black-Litterman portfolio optimization. Eur. J. Oper. Res. 297 (3) (2022)
Andreas Stephan, Vasiliki Kougia, Benjamin Roth
SepLL: Separating Latent Class Labels from Weak Supervision Noise. EMNLP (Findings) (2022)
Andreas Stephan, Benjamin Roth
WeaNF: Weak Supervision with Normalizing Flows. CoRR (2022)
Andreas Stephan, Vasiliki Kougia, Benjamin Roth
SepLL: Separating Latent Class Labels from Weak Supervision Noise. CoRR (2022)
Andreas Stephan, Benjamin Roth
WeaNF: Weak Supervision with Normalizing Flows. RepL4NLP@ACL (2022)
Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth
Knodle: Modular Weakly Supervised Learning with PyTorch. RepL4NLP@ACL-IJCNLP (2021)
Anastasiya Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth
Knodle: Modular Weakly Supervised Learning with PyTorch. CoRR (2021)
Lars Luthmann, Timo Gerecht, Andreas Stephan, Johannes Bürdek, Malte Lochau
Minimum/maximum delay testing of product lines with unbounded parametric real-time constraints. J. Syst. Softw. 149 (2019)
Lars Luthmann, Andreas Stephan, Johannes Bürdek, Malte Lochau
Modeling and Testing Product Lines with Unbounded Parametric Real-Time Constraints. SPLC (A) (2017)
Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Andreas Stephan
Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference. Fuzzy Days (2004)
Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, Andreas Stephan
An Adaptive Learning Algorithm for a Neuro-fuzzy Network. Fuzzy Days (2001)
Yevgeniy V. Bodyanskiy, S. A. Vorobyov, Andreas Stephan
Detection of NARMA-sequence order using recurrent artificiai neural networks. ECC (1999)