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ORCIDLukas Miklautz
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2020 – today
- 2024
[c11]Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter:
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. AAAI 2024: 2965-2973- [c10]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. EACL (1) 2024: 2960-2976 - [i6]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. CoRR abs/2402.02996 (2024) - [i5]Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter:
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations. CoRR abs/2402.10093 (2024) - [i4]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) - [i3]Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. CoRR abs/2410.06265 (2024) - 2023
- [c9]Collin Leiber
, Lukas Miklautz, Claudia Plant, Christian Böhm:
Application of Deep Clustering Algorithms. CIKM 2023: 5208-5211 - [c8]Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant:
Non-Redundant Image Clustering of Early Medieval Glass Beads. DSAA 2023: 1-12 - [c7]Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant:
CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. DSAA 2023: 1-10 - [c6]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Benchmarking Deep Clustering Algorithms With ClustPy. ICDM (Workshops) 2023: 625-632 - [p1]Lukas Miklautz:
Prototyp-basiertes Lernen von Repräsentationen mittels Deep Clustering. Ausgezeichnete Informatikdissertationen 2023: 181-190 - [i2]Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter:
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. CoRR abs/2304.10520 (2023) - 2022
- [c5]Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant:
Deep Clustering With Consensus Representations. ICDM 2022: 1119-1124 - [i1]Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant:
Deep Clustering With Consensus Representations. CoRR abs/2210.07063 (2022) - 2021
- [c4]Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant:
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. IJCAI 2021: 2826-2832 - 2020
- [j1]Muzaffer Can Altinigneli, Lena Greta Marie Bauer, Sahar Behzadi, Robert Fritze, Katerina Hlavácková-Schindler, Maximilian Leodolter, Lukas Miklautz, Martin Perdacher, Ylli Sadikaj, Benjamin Schelling, Claudia Plant:
The Data Mining Group at University of Vienna. Datenbank-Spektrum 20(1): 71-79 (2020) - [c3]Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant:
Deep Embedded Non-Redundant Clustering. AAAI 2020: 5174-5181 - [c2]Benjamin Schelling, Lukas Miklautz, Claudia Plant:
Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape. ECAI 2020: 1451-1458 - [c1]Muzaffer Can Altinigneli, Lukas Miklautz, Christian Böhm, Claudia Plant:
Hierarchical Quick Shift Guided Recurrent Clustering. ICDE 2020: 1842-1845
Coauthor Index
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