Alexandre Sablayrolles

Alexandre joined Facebook AI Research Paris as a resident Ph.D. student upon completing his Master's in Data Science at NYU. He also received a B.S. and M.S. in Applied Mathematics and Computer Science from École Polytechnique. Alexandre's interests include approximate nearest neighbor search algorithms, differential privacy, computer vision, and deep learning.

Alexandre's Publications

April 07, 2020



Link and code: Fast indexing with graphs and compact regression codes

Similarity search approaches based on graph walks have recently attained outstanding speed-accuracy trade-offs, taking aside the memory requirements. In this paper, we revisit these approaches by considering, additionally, the memory constraint…

Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou,

April 07, 2020