Lukas Miklautz

According to our database, Lukas Miklautz authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations.

Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter

CoRR, 2024

Text-Guided Image Clustering.

Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget.

Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Benchmarking Deep Clustering Algorithms With ClustPy.

Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm

Proceedings of the IEEE International Conference on Data Mining, 2023

CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning.

Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Non-Redundant Image Clustering of Early Medieval Glass Beads.

Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Application of Deep Clustering Algorithms.

Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Deep Clustering With Consensus Representations.

Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces.

Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

The Data Mining Group at University of Vienna.

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

Datenbank-Spektrum, 2020

Hierarchical Quick Shift Guided Recurrent Clustering.

Muzaffer Can Altinigneli, Lukas Miklautz, Christian Böhm, Claudia Plant

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape.

Benjamin Schelling, Lukas Miklautz, Claudia Plant

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Deep Embedded Non-Redundant Clustering.

Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020