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PhD candidate @ FI MUNI researching approximate nearest neighbor search and learned indexes for vector data.
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Faculty of Informatics, Masaryk University
- Brno, Czech Republic
- prochazka.dev
- https://orcid.org/0009-0000-2765-8329
- in/prochazka-david
- https://scholar.google.com/citations?user=tytOHBkAAAAJ&hl=en
Highlights
- Pro
Pinned Loading
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Coda-Research-Group/AlphaFind
Coda-Research-Group/AlphaFind PublicAlphaFind: Discover structure similarity across the entire known proteome
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Coda-Research-Group/LearnedMetricIndex
Coda-Research-Group/LearnedMetricIndex PublicLearned Metric Index (LMI) is a machine learning based data structure for fast look-up of approximate nearest neighbors in complex data.
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Coda-Research-Group/RecoverGraphANN
Coda-Research-Group/RecoverGraphANN PublicReproducibility artifact for the CIKM '26 paper: one query-agnostic preprocessing step takes HNSW from 21.1% to 95.8% recall@10 on attention-derived inner-product workloads, with no index changes.
Python 1
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