No. Title Author Year
1 Sublinear Time Eigenvalue Approximation via Random Sampling Bhattacharjee, Rajarshi et al. 2023
2 Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries Addanki, Raghavendra et al. 2022
3 Simple Heuristics Yield Provable Algorithms for Masked Low-Rank Approximation Musco, Cameron et al. 2021
4 Random Sketching, Clustering, and Short-Term Memory in Spiking Neural Networks Hitron, Yael et al. 2020
5 Spiking Neural Networks Through the Lens of Streaming Algorithms Hitron, Yael et al. 2020
6 Eigenvector Computation and Community Detection in Asynchronous Gossip Models Mallmann-Trenn, Frederik et al. 2018
7 Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness Musco, Cameron et al. 2018
8 Computational Tradeoffs in Biological Neural Networks: Self-Stabilizing Winner-Take-All Networks Lynch, Nancy et al. 2017
9 Neuro-RAM Unit with Applications to Similarity Testing and Compression in Spiking Neural Networks Lynch, Nancy et al. 2017
10 Online Row Sampling Cohen, Michael B. et al. 2016
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