Fast nearest neighbor search through sparse random projections and voting. - Ville Hyvönen; Teemu Pitkänen; Sotiris K. Tasoulis; Elias Jaasaari; Risto Tuomainen; Liang Wang 009; Jukka Corander; Teemu Roos (IEEE BigData, 2016)

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. - Tomi Silander; Janne Leppä-aho; Elias Jääsaari; Teemu Roos (AISTATS, 2018)

Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. - Elias Jääsaari; Janne Leppä-aho; Tomi Silander; Teemu Roos (ALT, 2018)

Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search. - Elias Jääsaari; Ville Hyvönen; Teemu Roos (PAKDD (2), 2019)

Supervised Learning Approach to Approximate Nearest Neighbor Search. - Ville Hyvönen; Elias Jääsaari; Teemu Roos (CoRR, 2019)

SONAR: Joint Architecture and System Optimization Search. - Elias Jääsaari; Michelle Ma; Ameet Talwalkar; Tianqi Chen (CoRR, 2022)

LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search. - Elias Jääsaari; Ville Hyvönen; Teemu Roos (NeurIPS, 2024)

A Multilabel Classification Framework for Approximate Nearest Neighbor Search. - Ville Hyvönen; Elias Jääsaari; Teemu Roos (J. Mach. Learn. Res., 2024)

VIBE: Vector Index Benchmark for Embeddings. - Elias Jääsaari; Ville Hyvönen; Matteo Ceccarello; Teemu Roos; Martin Aumüller 001 (CoRR, 2025)