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Andreas Stephan
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Journal Articles
- 2022
- [j2]Maziar Sahamkhadam, Andreas Stephan
, Ralf Östermark:
Copula-based Black-Litterman portfolio optimization. Eur. J. Oper. Res. 297(3): 1055-1070 (2022) - 2019
- [j1]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: 535-553 (2019)
Conference and Workshop Papers
- 2024
- [c13]Lena Zellinger, Andreas Stephan, Benjamin Roth:
Counterfactual Reasoning with Knowledge Graph Embeddings. EACL (1) 2024: 2753-2772 - [c12]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. EACL (1) 2024: 2960-2976 - [c11]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: 589-592 - 2023
- [c10]Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow:
Weaker Than You Think: A Critical Look at Weakly Supervised Learning. ACL (1) 2023: 14229-14253 - [c9]Andreas Baumann, Andreas Stephan, Benjamin Roth:
Seeing through the mess: evolutionary dynamics of lexical polysemy. EMNLP 2023: 8745-8762 - [c8]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: 65-73 - 2022
- [c7]Andreas Stephan, Vasiliki Kougia, Benjamin Roth:
SepLL: Separating Latent Class Labels from Weak Supervision Noise. EMNLP (Findings) 2022: 3918-3929 - [c6]Andreas Stephan, Benjamin Roth:
WeaNF: Weak Supervision with Normalizing Flows. RepL4NLP@ACL 2022: 269-279 - 2021
- [c5]Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth:
Knodle: Modular Weakly Supervised Learning with PyTorch. RepL4NLP@ACL-IJCNLP 2021: 100-111 - 2017
- [c4]Lars Luthmann
, Andreas Stephan, Johannes Bürdek, Malte Lochau:
Modeling and Testing Product Lines with Unbounded Parametric Real-Time Constraints. SPLC (A) 2017: 104-113 - 2004
- [c3]Yevgeniy V. Bodyanskiy
, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Andreas Stephan:
Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference. Fuzzy Days 2004: 641-650 - 2001
- [c2]Yevgeniy V. Bodyanskiy
, Vitaliy Kolodyazhniy, Andreas Stephan:
An Adaptive Learning Algorithm for a Neuro-fuzzy Network. Fuzzy Days 2001: 68-75 - 1999
- [c1]Yevgeniy V. Bodyanskiy, S. A. Vorobyov, Andreas Stephan:
Detection of NARMA-sequence order using recurrent artificiai neural networks. ECC 1999: 71-76
Informal and Other Publications
- 2024
- [i8]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. CoRR abs/2402.02996 (2024) - [i7]Lena Zellinger, Andreas Stephan, Benjamin Roth:
Counterfactual Reasoning with Knowledge Graph Embeddings. CoRR abs/2403.06936 (2024) - [i6]Vasiliki Kougia, Anastasiia Sedova, Andreas Stephan, Klim Zaporojets, Benjamin Roth:
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. CoRR abs/2406.11486 (2024) - [i5]Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth:
Text-Guided Alternative Image Clustering. CoRR abs/2406.18589 (2024) - 2023
- [i4]Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow:
Weaker Than You Think: A Critical Look atWeakly Supervised Learning. CoRR abs/2305.17442 (2023) - 2022
- [i3]Andreas Stephan, Benjamin Roth:
WeaNF: Weak Supervision with Normalizing Flows. CoRR abs/2204.13409 (2022) - [i2]Andreas Stephan, Vasiliki Kougia, Benjamin Roth:
SepLL: Separating Latent Class Labels from Weak Supervision Noise. CoRR abs/2210.13898 (2022) - 2021
- [i1]Anastasiya Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth:
Knodle: Modular Weakly Supervised Learning with PyTorch. CoRR abs/2104.11557 (2021)
Coauthor Index
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