3 papers
cs.LG2025
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
Daniel Severo, Giuseppe Ottaviano, Matthew Muckley +2
Approximate nearest neighbor search for vectors relies on indexes that are most often accessed from RAM. Therefore, storage is the factor limiting the size of the database that can…
cs.LG2025
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
Théophane Vallaeys, Matthew Muckley, Jakob Verbeek +1
Vector quantization is a fundamental technique for compression and large-scale nearest neighbor search. For high-accuracy operating points, multi-codebook quantization associates d…
cs.CV2024
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon +7
AI Foundation models are gaining traction in various applications, including medical fields like radiology. However, medical foundation models are often tested on limited tasks, le…