Ladislav Peska
Ladislav Peska
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Ladislav Peska has a total of 108 co-authors. Here are the top co-authors by number of shared publications:
- Jakub Lokoč
Charles University, Prague, Czech Republic
17 shared publications - Patrik Dokoupil
Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
16 shared publications - Peter Vojtáš
Charles University
13 shared publications - Ludovico Boratto
University of Cagliari, Cagliari, Italy
9 shared publications - Martin Spišák
TopK, San Francisco, California, USA and Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
6 shared publications - Tomáš Skopal
Charles University
6 shared publications
Latest Publications
- Open Access
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1832-1834
StreamlitRecommenders: Towards Recommendation Inspectability as a New Reproducibility Standard
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1832-1834
Open AccessStreamlitRecommenders: Towards Recommendation Inspectability as a New Reproducibility Standard
- Open Access
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1808-1810
GroupRec: A Unified Toolkit for Reproducible and Inspectable Group Recommendation Research
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1808-1810
Open AccessGroupRec: A Unified Toolkit for Reproducible and Inspectable Group Recommendation Research
- Open Access
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1793-1795
COMPRESSO: Espresso-Style Sparse Representation Learning for Interpretable Recommender Systems
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1793-1795
Open AccessCOMPRESSO: Espresso-Style Sparse Representation Learning for Interpretable Recommender Systems
- Open Access
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1761-1763
Sparse Autoencoders as Semantic Domain Adapters for Recommender Systems
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1761-1763
Open AccessSparse Autoencoders as Semantic Domain Adapters for Recommender Systems
- Open Access
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1764-1766
The Illusion of Control: Commensurability, Concentration, and Correlation in Multi-Objective Recommendation
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 1764-1766
Open AccessThe Illusion of Control: Commensurability, Concentration, and Correlation in Multi-Objective Recommendation
- Open Access
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 653-657
Candidate Retrieval for Provider Fairness under Severe Recommendation Imbalance
- 27 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 653-657
Open AccessCandidate Retrieval for Provider Fairness under Severe Recommendation Imbalance
- Open Access
- 15 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1768-1777
Evaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections
- 15 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1768-1777
Open AccessEvaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections
- Open Access
- 7 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 510-512
Match-it: Group Recommendations in the Age of Mobile Applications
- 7 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 510-512
Open AccessMatch-it: Group Recommendations in the Age of Mobile Applications
- Open Access
- 7 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 345-350
CALISSTA: Calibrated Candidate Retrieval Using Sparse Autoencoders and Top-k Aggregation
- 7 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 345-350
Open AccessCALISSTA: Calibrated Candidate Retrieval Using Sparse Autoencoders and Top-k Aggregation
- Open Access
- 7 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 680-683
GMAP 2026: 5th Workshop on Group Modeling, Adaptation and Personalization
- 7 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 680-683
Open AccessGMAP 2026: 5th Workshop on Group Modeling, Adaptation and Personalization