SlicedIterativeNormalizingFlowsBiweiDai1UrošSeljak12Abstractmodelsusuallyparameterizethemappingusingneuralnet-works,andthetrainingofthesemodelstypicallyconsistsWedevelopaniterative(greedy)deeplear...
SelfNormalizingFlowsT.AndersonKeller12JornW.T.Peters12PriyankJaini12EmielHoogeboom12PatrickForre´2MaxWelling2Abstractdependsonthediagonal(Bogachevetal.,2005;Marzouketal.,2016;Jainietal.,2019),andi...
ScalableNormalizingFlowsforPermutationInvariantDensitiesMarinBiloš1StephanGünnemann1Abstractt0t1ModelingsetsisanimportantprobleminmachineBasedistributionfTargetdistributionlearningsincethistypeof...
DatasetDynamicsviaGradientFlowsinProbabilitySpaceDavidAlvarez-Melis1Nicolo`Fusi1Abstract2019),datasetpooling,orinstancemixing(Zhangetal.,2018).Ontheotherhand—andourprincipalmotivationinVariousmach...
ComposingNormalizingFlowsforInverseProblemsJayWhang1ErikM.Lindgren2AlexandrosG.Dimakis3Abstractinversion.Whileothertypesofmodelscanoutperformflowmodelsintermsoflikelihoodorsamplequality,flowmodelsG...
AutomaticVariationalInferencewithCascadingFlowsLucaAmbrogioni1GianluigiSilvestri12MarcelvanGerven1AbstractKerstingandDeRaedt,2007;Pfeffer,2001;Parketal.,2005;Goodmanetal.,2012;Wingateetal.,2011;Pat...
VFlow:MoreExpressiveGenerativeFlowswithVariationalDataAugmentationJianfeiChen12ChengLu1BiqiChenli12JunZhu12TianTian12AbstractInvertibletransformationstepAugmenteddimensionsTransformeddataInternalhi...
TailsofLipschitzTriangularFlowsPriyankJaini12IvanKobyzev3YaoliangYu12MarcusA.Brubaker34AbstractVanden-Eijnden,2010;Tabak&Turner,2013;Rezende&Mohamed,2015)andautoregressivemodels(Papamakar-Weinvesti...
StochasticFlowsandGeometricOptimizationontheOrthogonalGroupKrzysztofChoromanski12DavidCheikhi3JaredDavis1ValeriiLikhosherstov4AchilleNazaret3AchrafBahamou2XingyouSong1MrugankAkarte2JackParker-Holde...
Semi-SupervisedLearningwithNormalizingFlowsPavelIzmailov1PolinaKirichenko1MarcFinzi1AndrewGordonWilson1Abstractwouldbeapoorinductivebiasforhandlingtranslationsorrepresentingothersalientstatisticalp...
NormalizingFlowsonToriandSpheresDaniloJimenezRezende1GeorgePapamakarios1Se´bastienRacanie`re1MichaelS.Albergo2GurtejKanwar3PhialaE.Shanahan3KyleCranmer2AbstractAnormalizingflowimplementstwooperati...
LatentVariableModellingwithHyperbolicNormalizingFlowsAvishekJoeyBose12AriellaSmofsky12RenjieLiao34PrakashPanangaden12WilliamL.Hamilton12Abstractℝ2ℍ2KThechoiceofapproximateposteriordistributionsℝ...
GenerativeFlowswithMatrixExponentialChangyiXiao1LigangLiu1Abstractflowsmodels.Therearetwoprinciplesthatshouldbefol-lowed.First,theJacobiandeterminantshouldbecomputedGenerativeflowsmodelsenjoythepro...
EquivariantFlows:ExactLikelihoodGenerativeLearningforSymmetricDensitiesJonasKo¨hler1LeonKlein1FrankNoe´123Abstractproblems,suchasvalidconformationsofproteins.Normalizingflowsareexact-likelihoodge...
UnderstandingMCMCDynamicsasFlowsontheWassersteinSpaceChangLiu1JingweiZhuo1JunZhu1AbstractdistributionminimizestheKLdivergencetothetargetdistri-bution.TheyfullyexploittheapproximationabilityofasetIt...
Sliced-WassersteinFlows:NonparametricGenerativeModelingviaOptimalTransportandDiffusionsAntoineLiutkus1UmutS¸ims¸ekli2SzymonMajewski3AlainDurmus4Fabian-RobertSto¨ter1Abstract2013)andgenerativeadv...
LatentNormalizingFlowsforDiscreteSequencesZacharyM.Ziegler1AlexanderM.Rush1AbstractGenerativemodelsbasedonnormalizingflowshaveseenrecentsuccessinproblemsinvolvingcontinuousrandomNormalizingflowsare...
EmergingConvolutionsforGenerativeNormalizingFlowsEmielHoogeboom1RiannevandenBerg2MaxWelling13Abstractin2in2Generativeflowsareattractivebecausetheyadmitin1out2=exactlikelihoodoptimizationandefficien...
PolicyOptimizationasWassersteinGradientFlowsRuiyiZhang1ChangyouChen2ChunyuanLi1LawrenceCarin1Abstractwiththeenvironment.Policyoptimizationisacorecomponentofrein-Astandardtechniqueforpolicylearningi...
NeuralAutoregressiveFlowsChin-WeiHuang12DavidKrueger12AlexandreLacoste2AaronCourville13Abstractimplicitlosses,inthecaseofadversarialmodels(Goodfel-lowetal.,2014).(2)Inthecontextofvariationalinferen...