Lukas Miklautz

29 papers A* 8A 2B 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning. CoRR Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm
2025	A*	`conf`	Breaking the Reclustering Barrier in Centroid-based Deep Clustering. ICLR Lukas Miklautz, Timo Klein, Kevin Sidak, Collin Leiber, Thomas Lang, Andrii Shkabrii, Sebastian Tschiatschek, Claudia Plant
2025	J	`jnl`	H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition. CoRR Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros-Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer G. Dy, Stratis Ioannidis
2025	A*	`conf`	MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations. ICLR Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter
2025	J	`jnl`	Motif Discovery Framework for Psychiatric EEG Data Classification. CoRR Melanija Kraljevska, Katerina Hlavácková-Schindler, Lukas Miklautz, Claudia Plant
2025	J	`jnl`	Understanding and Improving Hyperbolic Deep Reinforcement Learning. CoRR Timo Klein, Thomas Lang, Andrii Shkabrii, Alexander Sturm, Kevin Sidak, Lukas Miklautz, Claudia Plant, Yllka Velaj, Sebastian Tschiatschek
2025	J	`jnl`	Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification. CoRR Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz
2024	J	`jnl`	Breaking the Reclustering Barrier in Centroid-based Deep Clustering. CoRR Lukas Miklautz, Timo Klein, Kevin Sidak, Collin Leiber, Thomas Lang, Andrii Shkabrii, Sebastian Tschiatschek, Claudia Plant
2024	A*	`conf`	Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. AAAI Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter
2024	J	`jnl`	MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations. CoRR Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter
2024	J	`jnl`	Plasticity Loss in Deep Reinforcement Learning: A Survey. CoRR Timo Klein, Lukas Miklautz, Kevin Sidak, Claudia Plant, Sebastian Tschiatschek
2024	A*	`conf`	SHADE: Deep Density-based Clustering. ICDM Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant
2024	J	`jnl`	SHADE: Deep Density-based Clustering. CoRR Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant
2024	J	`jnl`	Text-Guided Alternative Image Clustering. CoRR Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth
2024	—	`conf`	Text-Guided Image Clustering. EACL (1) Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth
2024	J	`jnl`	Text-Guided Image Clustering. CoRR Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth
2023	A	`conf`	Application of Deep Clustering Algorithms. CIKM Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm
2023	—	`conf`	Benchmarking Deep Clustering Algorithms With ClustPy. ICDM (Workshops) Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm
2023	B	`conf`	CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. DSAA Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant
2023	J	`jnl`	Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. CoRR Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter
2023	B	`conf`	Non-Redundant Image Clustering of Early Medieval Glass Beads. DSAA Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant
2023	—	`ch.`	Prototyp-basiertes Lernen von Repräsentationen mittels Deep Clustering. Ausgezeichnete Informatikdissertationen Lukas Miklautz
2022	A*	`conf`	Deep Clustering With Consensus Representations. ICDM Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant
2022	J	`jnl`	Deep Clustering With Consensus Representations. CoRR Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant
2021	A*	`conf`	Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. IJCAI Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant
2020	A*	`conf`	Deep Embedded Non-Redundant Clustering. AAAI Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant
2020	A*	`conf`	Hierarchical Quick Shift Guided Recurrent Clustering. ICDE Muzaffer Can Altinigneli, Lukas Miklautz, Christian Böhm, Claudia Plant
2020	A	`conf`	Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape. ECAI Benjamin Schelling, Lukas Miklautz, Claudia Plant
2020	J	`jnl`	The Data Mining Group at University of Vienna. Datenbank-Spektrum 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