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Collin Leiber

Observed name: Leiber, Collin
ORCID: 0000-0001-5368-5697
Observed ORCID: 0000-0001-5368-5697
OpenAlex ID: A5048460451
Dip-based Deep Embedded Clustering with k-Estimation
2021 · Collin Leiber, Lena G. M. Bauer, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 33
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Benchmarking Deep Clustering Algorithms With ClustPy
2023 · Collin Leiber, Lukas Miklautz, et al. · IEEE ... International Conference on Data Mining workshops · 20
The DipEncoder: Enforcing Multimodality in Autoencoders
2022 · Collin Leiber, Lena G. M. Bauer, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 15
An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
2025 · Leiber, Collin, Miklautz, Lukas, et al. · arXiv (Cornell University) · 7
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SHADE: Deep Density-based Clustering
2024 · Anna Beer, Pascal Weber, et al. · Proceedings · 7
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Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms
2024 · Philipp Jahn, Christian M. M. Frey, et al. · Lecture notes in computer science · 7
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering
2023 · Lena G. M. Bauer, Collin Leiber, et al. · Society for Industrial and Applied Mathematics eBooks · 6
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Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters
2024 · Collin Leiber, Niklas Strauß, et al. · IEEE ... International Conference on Data Mining workshops · 4
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Clustering energy performance certificates: a methodology for selecting representative buildings in scalable energy simulations
2025 · Hatef Hajian, Collin Leiber, et al. · Energy and Buildings · 3
k-SubMix: Common Subspace Clustering on Mixed-Type Data
2023 · Mauritius Klein, Collin Leiber, et al. · Lecture notes in computer science · 3
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
2024 · Miklautz, Lukas, Klein, Timo, et al. · arXiv (Cornell University) · 2
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Text-Guided Alternative Image Clustering
2024 · Stephan, Andreas, Miklautz, Lukas, et al. · arXiv (Cornell University) · 2
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Automatic Parameter Selection for Non-Redundant Clustering
2022 · Collin Leiber, Dominik Mautz, et al. · Society for Industrial and Applied Mathematics eBooks · 2
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DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning
2025 · Mamdouh Aljoud, Gabriel Marques Tavares, et al. · Lecture notes in computer science · 1
Text-Guided Alternative Image Clustering
2024 · Andreas Stephan, Lukas Miklautz, et al. · Workshop on Representation Learning for NLP (RepL4NLP) · 1
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Non-Redundant Image Clustering of Early Medieval Glass Beads
2023 · Lukas Miklautz, Andrii Shkabrii, et al. · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 1
Artifacts for "Purely Misleading: Examining Purity Evaluation for Online-Offline Stream Clustering [Experiment, Analysis, and Benchmark]" (Part 2)
2026 · Jahn, Philipp, Durani, Walid, et al. · Zenodo (CERN European Organization for Nuclear Research)
Artifacts for "Purely Misleading: Examining Purity Evaluation for Online-Offline Stream Clustering [Experiment, Analysis, and Benchmark]" (Part 1)
2026 · Jahn, Philipp, Durani, Walid, et al. · Zenodo (CERN European Organization for Nuclear Research)
Poisson subspace clustering: focusing on the essentials in count data
2026 · Collin Leiber, Kai Puolamäki, et al. · Data Mining and Knowledge Discovery
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CODAC: Constraint-based Deep Active Clustering
2026 · Anri Patron, Sandra Gilhuber, et al. · Data Mining and Knowledge Discovery
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Replication code: Calculated versus Measured Building Energy Performance across Estonian Counties
2026 · Hajian, Hatef, Leiber, Collin, et al. · Zenodo (CERN European Organization for Nuclear Research)
DCMatchBoosted - improving deep clustering by architecture recommendation
2026 · Mamdouh Aljoud, Gabriel Marques Tavares, et al. · International Journal of Data Science and Analytics
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Khatri-Rao Clustering for Data Summarization
2026 · Ciaperoni, Martino, Leiber, Collin, et al. · arXiv (Cornell University)
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Going Offline: An Evaluation of the Offline Phase in Stream Clustering
2025 · Philipp Jahn, Walid Durani, et al. · Lecture notes in computer science
Feature Extraction-Based Clustering Selection Methodology to Identify Representative Buildings for Scalable Energy Simulations
2025 · Hatef Hajian, Collin Leiber, et al. · SSRN Electronic Journal
Works count: 31
Citation count: 114
H-index: 6
I10-index: 3
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