Deep Embedded Non-Redundant Clustering. - Lukas Miklautz; Dominik Mautz; Muzaffer Can Altinigneli; Christian Böhm 001; Claudia Plant (AAAI, 2020)

Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape. - Benjamin Schelling; Lukas Miklautz; Claudia Plant (ECAI, 2020)

Hierarchical Quick Shift Guided Recurrent Clustering. - Muzaffer Can Altinigneli; Lukas Miklautz; Christian Böhm 001; Claudia Plant (ICDE, 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)

Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. - Lukas Miklautz; Lena G. M. Bauer; Dominik Mautz; Sebastian Tschiatschek; Christian Böhm 001; Claudia Plant (IJCAI, 2021)

Deep Clustering With Consensus Representations. - Lukas Miklautz; Martin Teuffenbach; Pascal Weber 001; Rona Perjuci; Walid Durani; Christian Böhm 001; Claudia Plant (ICDM, 2022)

Application of Deep Clustering Algorithms. - Collin Leiber; Lukas Miklautz; Claudia Plant; Christian Böhm 001 (CIKM, 2023)

Non-Redundant Image Clustering of Early Medieval Glass Beads. - Lukas Miklautz; Andrii Shkabrii; Collin Leiber; Bendeguz Tobias; Benedict Seidl; Elisabeth Weissensteiner; Andreas Rausch 001; Christian Böhm 001; Claudia Plant (DSAA, 2023)

CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. - Pascal Weber 001; Lukas Miklautz; Akshey Kumar; Moritz Grosse-Wentrup; Claudia Plant (DSAA, 2023)

Benchmarking Deep Clustering Algorithms With ClustPy. - Collin Leiber; Lukas Miklautz; Claudia Plant; Christian Böhm 001 (ICDM (Workshops), 2023)

Prototyp-basiertes Lernen von Repräsentationen mittels Deep Clustering. - Lukas Miklautz (Ausgezeichnete Informatikdissertationen, 2023)

Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. - Johannes Lehner; Benedikt Alkin; Andreas Fürst; Elisabeth Rumetshofer; Lukas Miklautz; Sepp Hochreiter (AAAI, 2024)

Text-Guided Image Clustering. - Andreas Stephan; Lukas Miklautz; Kevin Sidak; Jan Philip Wahle; Bela Gipp; Claudia Plant; Benjamin Roth 001 (EACL (1), 2024)

SHADE: Deep Density-based Clustering. - Anna Beer 001; Pascal Weber 001; Lukas Miklautz; Collin Leiber; Walid Durani; Christian Böhm 001; Claudia Plant (ICDM, 2024)

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations. - Benedikt Alkin; Lukas Miklautz; Sepp Hochreiter; Johannes Brandstetter (CoRR, 2024)

Text-Guided Alternative Image Clustering. - Andreas Stephan; Lukas Miklautz; Collin Leiber; Pedro Henrique Luz de Araujo; Dominik Répás; Claudia Plant; Benjamin Roth 001 (CoRR, 2024)

Plasticity Loss in Deep Reinforcement Learning: A Survey. - Timo Klein; Lukas Miklautz; Kevin Sidak; Claudia Plant; Sebastian Tschiatschek (CoRR, 2024)

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations. - Benedikt Alkin; Lukas Miklautz; Sepp Hochreiter; Johannes Brandstetter (ICLR, 2025)

Breaking the Reclustering Barrier in Centroid-based Deep Clustering. - Lukas Miklautz; Timo Klein; Kevin Sidak; Collin Leiber; Thomas Lang; Andrii Shkabrii; Sebastian Tschiatschek; Claudia Plant (ICLR, 2025)

Motif Discovery Framework for Psychiatric EEG Data Classification. - Melanija Kraljevska; Katerina Hlavácková-Schindler; Lukas Miklautz; Claudia Plant (CoRR, 2025)

An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning. - Collin Leiber; Lukas Miklautz; Claudia Plant; Christian Böhm 001 (CoRR, 2025)