ITUScalableSimSearch

Scalable Similarity Search project at the IT University of Copenhagen. Led by professor Rasmus Pagh, financed by the European Research Council (ERC).

[ITUScalableSimSearch @ERC_SSS]

This Twitter feed will feature news from the Scalable Similarity Search project, http://t.co/5XmJ9gRuv8 which started May 1, 2014.

[ITUScalableSimSearch @ERC_SSS]

kNN is now available for Elasticsearch on AWS (https://t.co/RlBjABE2Zz). Nice to see that the choice of algorithm was informed by ANN-Benchmarks (https://t.co/QNit4tAmsi), co-developed by the @ERC_SSS project!

[Rasmus Pagh @RasmusPagh1]

Enjoyed speaking at WADS 2019 on Set Similarity! Slides available at
https://t.co/90XMglLCDz

[ITUScalableSimSearch @ERC_SSS]

@TheMarcelSchulz Nice! It would be interesting to do a head-to-head with the recent construction of Sam McCauley, https://t.co/r3O3oAKI9K

[ITUScalableSimSearch @ERC_SSS]

Serious attempts at improving nearest neighbor algorithms in practice should demonstrate their worth on ann-benchmarks (co-developed by @ERC_SSS team members Martin Aumüller and Alec Faithful)!

[Erik Bernhardsson @bernhardsson]

ann-benchmarks, my project to benchmark approximate nearest neighbor algorithms, just crossed 1k stars on GitHub 🎉 https://t.co/40GfinE81j

[ITUScalableSimSearch @ERC_SSS]

PUFFINN was developed to eliminate the parameter tuning that is required for most nearest neighbor search algorithms with theoretical guarantees. Let us know what you think of it!

[ITUScalableSimSearch @ERC_SSS]

We are proud to release the PUFFINN library for approximate nearest neighbors, https://t.co/Sbun5h4nEC and the corresponding paper at https://t.co/iXKeVwk9pt !

[ITUScalableSimSearch @ERC_SSS]

Huge thanks to Martin Aumüller, Tobias Christiani, and Michael Vesterli for making this possible.

[Francesco Silvestri @SilvestriFr]

New paper! “Fair Near Neighbor Search: Independent Range Sampling in High Dimensions“ by M. Aumüller @RasmusPagh1 and myself: https://t.co/p7rvIBG7l1. Given a query q, we show how to evenly sample near neighbors of q in a high dimensional space. (1/2)

[ITUScalableSimSearch @ERC_SSS]

Speaking at TOCA-SV today! https://t.co/2W1QJRH6T4

[ITUScalableSimSearch @ERC_SSS]

@MSFTResearch @github Nice! You should make this part of the benchmark at https://t.co/QNit4tAmsi

[Microsoft Research @MSFTResearch]

Microsoft’s Space Partition Tree And Graph (SPTAG), now available on @GitHub, takes advantage of vectors to search through billions of pieces of info in milliseconds: https://t.co/hUMkDfUMwx

[ITUScalableSimSearch @ERC_SSS]

Today marks the end of the generous funding of @ERC_SSS by @ERC_Research. Special thanks to the talented people who contributed, directly or as collaborators. But we are not done! New results are in the pipeline, and I am excited about the progress that has been made. Stay tuned!

[Rasmus Pagh @RasmusPagh1]

Last day of the Foundations of Data Science at @SimonsInstitute - thanks to the organizers and the institute for a great program!

[Ryan Williams @rrwilliams.bsky.social @rrwilliams]

I thought about whether monochromatic = bichromatic closest pair for an annoyingly long time (probably a few days a year, since 2011) so I am glad to see progress on it! https://t.co/Zi3dh3G62r

[ITUScalableSimSearch @ERC_SSS]

Thank you @johanvts and Alexander Faithfull for your contributions to the @ERC_SSS project, and best wishes for the next stage of your careers!

[Gautam Kamath @thegautamkamath]

The start of the final @SimonsInstitute workshop in the data science program: sublinear algorithms and nearest neighbor search. Piotr Indyk kicks it off! Schedule and stream here (https://t.co/rSgkP0ALiq). Stay tuned for talks by @ceacy_ @RasmusPagh1 @ilyaraz2 and more!

[ITUScalableSimSearch @ERC_SSS]

Join us for next week's workshop on Sublinear Algorithms and Nearest-Neighbor Search at @SimonsInstitute! Many exciting talks by leading experts, live-streamed at https://t.co/hzVG4vg79o

[ITUScalableSimSearch @ERC_SSS]

The talk on "How to Prepare Your Vectors" will be given again at Nvidia on November 15, 11 AM.

[ITUScalableSimSearch @ERC_SSS]

Favorite recipes for preparing high-dimensional vectors from @RasmusPagh1 presented at @Google, Mountain View, October 11 at 1 PM.

[ITUScalableSimSearch @ERC_SSS]

Favorite recipes for preparing high-dimensional vectors from @RasmusPagh1 presented at @Google, Mountain View, October 11 at 1 PM.

[ITUScalableSimSearch @ERC_SSS]

Great introduction to approximate nearest neighbor algorithms by @ilyaraz2 today at Simons Institute for Theory of Computation
Part 1: https://t.co/Pa6suHTOCw
Part 2: https://t.co/rbEkZClnT8