2023
Graph Fourier MMD for Signals on Graphs
Leone S, Venkat A, Huguet G, Tong A, Wolf G, Krishnaswamy S. Graph Fourier MMD for Signals on Graphs. 2023, 00: 1-6. DOI: 10.1109/sampta59647.2023.10301384.Peer-Reviewed Original ResearchState-space characterizationEmbedding of distributionsRNA-sequencing data analysisSingle-cell RNA-sequencing data analysisMeaningful gene clustersPairs of distributionsOptimization problemProbability distributionGene clusterEuclidean spaceSpace characterizationAnalytical solutionSuch graphsGene embeddingsDisconnected graphsScale invarianceGene selectionGraphSuch distancesEmbeddingGenesNovel typeDistributionNumerous methodsBenchmark datasets
2019
Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks
Gigante S, van Dijk D, Moon K, Strzalkowski A, Wolf G, Krishnaswamy S. Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks. 2019, 00: 1-4. DOI: 10.1109/sampta45681.2019.9030978.Peer-Reviewed Original ResearchStochastic dynamic systemsDeep generative neural networksProbability distributionDynamic systemsMarkov modelGlobal dynamicsLocal snapshotGenerative neural networksKalman filterSnapshot dataNeural networkNeural network frameworkRecurrent neural networkSuch systemsNext stateModeling networkNetwork frameworkDynamicsShallow modelsLocal transitionsHypothetical trajectoryModelBiological systemsNatural sciencesLongitudinal measurements