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researcher

Łukasz Struski

8 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV2
  • cs.AI1
  • eess.IV1
ORCID 0000-0003-4006-356X
same name
  • Łukasz Struski — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery

82 citations · 92 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Prof-K: Probabilistic One-Pass Filtering for Efficient Top-k Selection

Tadeusz Dziarmaga, Witold Sikora, Łukasz Struski +2

Top-k selection is a fundamental computational primitive with applications spanning databases, information retrieval, signal processing, and modern machine learning workloads, incl…

cs.LG2026

LaPrune: Controllable Differentiable Sparsity at Million Scale

Jakub Antczak, Joanna Wojciechowicz, Łukasz Struski +1

Top-k selection determines which components of a sparse model remain active. Hard selection blocks gradients, while continuous relaxations often couple mask hardness to the selec…

cs.LG2021

SONG: Self-Organizing Neural Graphs

Łukasz Struski, Tomasz Danel, Marek Śmieja +2

Recent years have seen a surge in research on deep interpretable neural networks with decision trees as one of the most commonly incorporated tools. There are at least three advant…

cs.LG2020★ 8 cited

OneFlow: One-class flow for anomaly detection based on a minimal volume region

Łukasz Maziarka, Marek Śmieja, Marcin Sendera +3

We propose OneFlow - a flow-based one-class classifier for anomaly (outlier) detection that finds a minimal volume bounding region. Contrary to density-based methods, OneFlow is co…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.