Lukas Miklautz
Scholar

Lukas Miklautz

Google Scholar ID: NFxHpE4AAAAJ
Max Planck Institute of Biochemistry
Machine LearningData MiningDeep LearningClusteringSystems Biology
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Citations & Impact
All-time
Citations
138
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Publications
7 items
Understanding and Improving Hyperbolic Deep Reinforcement Learning
2025
Cited
0
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
2025
Cited
0
Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
2025
Cited
0
An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
2025
Cited
0
Motif Discovery Framework for Psychiatric EEG Data Classification
2025
Cited
0
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
arXiv.org · 2024
Cited
0
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
arXiv.org · 2024
Cited
6
Resume (English only)
Co-authors
15 total
Claudia Plant
Claudia Plant
Professor of Computer Science, leader of research group Data Mining and Machine Learning, UniVie
Christian Böhm
Christian Böhm
Professor of Computer Science, University of Vienna, Vienna, Austria
Collin Leiber
Collin Leiber
Postdoc, Aalto University
Sebastian Tschiatschek
Sebastian Tschiatschek
University of Vienna
Sepp Hochreiter
Sepp Hochreiter
Institute for Machine Learning, Johannes Kepler University Linz
Benedikt Alkin
Benedikt Alkin
Emmi AI
Pascal Weber
Pascal Weber
PhD student, University of Vienna
Co-author 8
Co-author 8