Elias Jääsaari

According to our database1, Elias Jääsaari authored at least 10 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LEMUR: Learned Multi-Vector Retrieval.
CoRR, January, 2026

2025
VIBE: Vector Index Benchmark for Embeddings.
CoRR, May, 2025

2024
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022
SONAR: Joint Architecture and System Optimization Search.
CoRR, 2022

A Multilabel Classification Framework for Approximate Nearest Neighbor Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019
Supervised Learning Approach to Approximate Nearest Neighbor Search.
CoRR, 2019

Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets.
Proceedings of the Algorithmic Learning Theory, 2018

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016
Fast nearest neighbor search through sparse random projections and voting.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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