Exemplar-based large vocabulary speech recognition using k-nearest neighbors. - Yanbo Xu; Olivier Siohan; David Simcha; Sanjiv Kumar; Hank Liao (ICASSP, 2015)

Quantization based Fast Inner Product Search. - Ruiqi Guo; Sanjiv Kumar; Krzysztof Choromanski; David Simcha (AISTATS, 2016)

Fast Classification with Binary Prototypes. - Kai Zhong; Ruiqi Guo; Sanjiv Kumar; Bowei Yan; David Simcha; Inderjit S. Dhillon (AISTATS, 2017)

Multiscale Quantization for Fast Similarity Search. - Xiang Wu; Ruiqi Guo; Ananda Theertha Suresh; Sanjiv Kumar; Daniel N. Holtmann-Rice; David Simcha; Felix X. Yu (NIPS, 2017)

Efficient Inner Product Approximation in Hybrid Spaces. - Xiang Wu; Ruiqi Guo; David Simcha; Dave Dopson; Sanjiv Kumar (CoRR, 2019)

Local Orthogonal Decomposition for Maximum Inner Product Search. - Xiang Wu; Ruiqi Guo; Sanjiv Kumar; David Simcha (CoRR, 2019)

New Loss Functions for Fast Maximum Inner Product Search. - Ruiqi Guo; Quan Geng; David Simcha; Felix Chern; Sanjiv Kumar; Xiang Wu (CoRR, 2019)

Accelerating Large-Scale Inference with Anisotropic Vector Quantization. - Ruiqi Guo; Philip Sun; Erik Lindgren; Quan Geng; David Simcha; Felix Chern; Sanjiv Kumar (ICML, 2020)

Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets. - Baris Sumengen; Anand Rajagopalan; Gui Citovsky; David Simcha; Olivier Bachem; Pradipta Mitra; Sam Blasiak; Mason Liang; Sanjiv Kumar (CoRR, 2021)

SOAR: Improved Indexing for Approximate Nearest Neighbor Search. - Philip Sun; David Simcha; Dave Dopson; Ruiqi Guo; Sanjiv Kumar (NeurIPS, 2023)

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality. - Filipe Miguel Gonçalves de Almeida; CJ Carey; Hendrik Fichtenberger; Jonathan Halcrow; Silvio Lattanzi; André Linhares; Tao Meng; Ashkan Norouzi-Fard; Nikos Parotsidis; Bryan Perozzi; David Simcha (CoRR, 2025)