Showing 1–20 of 38 results
/ Date/ Name
Oct 17, 2019Smoothing graph signals via random spanning forestsDec 14, 2012Bootstrapping under constraint for the assessment of group behavior in human contact networksOct 31, 2022A Faster Sampler for Discrete Determinantal Point ProcessesJul 8, 2020Determinantal Point Processes in the Flat Limit: Extended L-ensembles, Partial-Projection DPPs and Universality ClassesMar 5, 2018Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point ProcessesFeb 5, 2016Compressive Spectral ClusteringJul 15, 2021Determinantal Point Processes in the Flat LimitOct 15, 2022Smoothing complex-valued signals on Graphs with Monte-CarloNov 3, 2017Design of graph filters and filterbanksMar 5, 2017Graph sampling with determinantal processesSep 29, 2015Accelerated Spectral Clustering Using Graph Filtering Of Random SignalsMar 31, 2025Estimating a graph's spectrum via random Kirchhoff forestsJul 25, 2025Spectrum Estimation through Kirchhoff Random ForestsDec 4, 2012Multiscale Community Mining in Networks Using Spectral Graph WaveletsJul 12, 2021Extended L-ensembles: a new representation for Determinantal Point ProcessesFeb 23, 2018Optimized Algorithms to Sample Determinantal Point ProcessesNov 1, 2017Analyzing the Approximation Error of the Fast Graph Fourier TransformApr 21, 2023Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random GraphsJan 29, 2019Approximating Spectral Clustering via Sampling: a ReviewJan 4, 2022Gaussian Process Regression in the Flat Limit