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标签“Using”的相关文档，共97条

Tractable structured natural-gradient descent Using local parameterizations
TractableStructuredNatural-GradientDescentUsingLocalParameterizationsWuLin1FrankNielsen2MohammadEmtiyazKhan3MarkSchmidt14AbstractFinally,manyrobustorglobaloptimizationtechniquesem-ployq(w)tosmootho...
Using Descent Local Structured Tractable
2023-11-16 19:42:1214972.69 MB27
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Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
TowardsOpenAdHocTeamworkUsingGraph-basedPolicyLearningArrasyRahman1NiklasHo¨pner2FilipposChristianos1StefanoV.Albrecht1AbstractPrioradhocteamworkapproaches(Barrett&Stone,2015;Albrechtetal.,2016;Ba...
Using Graph-based Towards Open Ad
2023-11-16 19:42:111858733.97 KB19
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Towards Certifying L-infinity Robustness Using Neural Networks with L-inf-dist Neurons
TowardsCertifying∞RobustnessUsingNeuralNetworkswith∞-distNeuronsBohangZhang1TianleCai23ZhouLu4DiHe5LiweiWang16Abstract1.IntroductionItiswell-knownthatstandardneuralnetworks,Modernneuralnetworksar...
Neural Using Networks Robustness Towards
2023-11-16 19:42:101820885.14 KB1
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Sparse within Sparse Gaussian Processes Using Neighbor Information
SparsewithinSparseGaussianProcessesUsingNeighborInformationGia-LacTran12DimitriosMilios1PietroMichiardi1MaurizioFilippone1Abstract&Ghahramani,2005;Naish-Guzman&Holden,2007;Tit-sias,2009;Hensmanetal...
Using Sparse Gaussian Processes Information
2023-11-16 19:41:547274.84 MB27
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Solving high-dimensional parabolic PDEs Using the tensor train format
Solvinghigh-dimensionalparabolicPDEsUsingthetensortrainformatLorenzRichter123LeonSallandt4NikolasNu¨sken5AbstractonstochasticrepresentationsofthePDEsunderconsidera-tion(Eetal.,2017;Raissietal.,201...
Using the High-dimensional Tensor Solving
2023-11-16 19:41:525032.83 MB20
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Skill Discovery for Exploration and Planning Using Deep Skill Graphs
SkillDiscoveryforExplorationandPlanningUsingDeepSkillGraphsAkhilBagaria1JasonSenthil1GeorgeKonidaris1AbstractWeintroduceanewskill-discoveryalgorithmthatbuildsadiscretegraphrepresentationoflargecon-...
for Using and Discovery Exploration
2023-11-16 19:41:5019743.9 MB6
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Segmenting Hybrid Trajectories Using Latent ODEs
SegmentingHybridTrajectoriesUsingLatentODEsRuianShi12QuaidMorris123Abstracttioncharacteristics,suchastherateofencounter,andrateofsuccessfulpredationperencounter.WhentheseparametersSmoothdynamicsint...
Using Latent Hybrid ODEs Segmenting
2023-11-16 19:41:4413092 MB9
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Safe Reinforcement Learning Using Advantage-Based Intervention
SafeReinforcementLearningUsingAdvantage-BasedInterventionNolanWagener1ByronBoots2Ching-AnCheng3AbstractFigure1.Advantage-basedinterventionofSAILRandconstruc-tionofthesurrogateMDPM.InM,wheneverthepo...
Learning Using Reinforcement Safe Intervention
2023-11-16 19:41:391814907.47 KB24
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Robust Reinforcement Learning Using Least Squares Policy Iteration with Provable Performance Guarantees
RobustReinforcementLearningUsingLeastSquaresPolicyIterationwithProvablePerformanceGuaranteesKishanPanaganti1DileepKalathil1AbstractThismismatchbetweenthetrainingandtestingenvironmentparameterscansi...
Learning Using Reinforcement Robust Policy
2023-11-16 19:41:3814402.55 MB14
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Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
QuantifyingtheBeneﬁtofUsingDifferentiableLearningoverTangentKernelsEranMalach1PritishKamath2EmmanuelAbbe3NathanSrebro2AbstractCanallthesuccessofdeeplearningbeexplainedUsingtheNTK?Thiswouldimplytha...
Learning of Using the Differentiable
2023-11-16 19:28:361734506.02 KB16
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PsiPhi-Learning Reinforcement Learning with Demonstrations Using Successor Features and Inverse Temporal Difference Learning
PsiPhi-Learning:ReinforcementLearningwithDemonstrationsUsingSuccessorFeaturesandInverseTemporalDifferenceLearningAngelosFilos1ClareLyle1YarinGal1SergeyLevine2NatashaJaques23GregoryFarquhar4Abstract...
Learning Using with Reinforcement Demonstrations
2023-11-16 19:28:359534.23 MB7
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Prior Image-Constrained Reconstruction Using Style-Based Generative Models
PriorImage-ConstrainedReconstructionUsingStyle-BasedGenerativeModelsVarunA.Kelkar1MarkA.Anastasio1Abstractqualityofimagesgenerated,invertibilityandimagerepre-sentation,andameaningfulcontrolofsemant...
Using Models Generative Prior Reconstruction
2023-11-16 19:28:3111864.07 MB1
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Policy Analysis Using Synthetic Controls in Continuous-Time
PolicyAnalysisUsingSyntheticControlsinContinuous-TimeAlexisBellot12MihaelavanderSchaar123Abstractoraverageinaneighbourhoodofcontrols)oftenprovidesamoreinformativecomparisonfortreatmenteffectestimat...
Using Analysis in Policy Synthetic
2023-11-16 19:28:291503687.59 KB12
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Personalized Federated Learning Using Hypernetworks
PersonalizedFederatedLearningUsingHypernetworksAvivShamsian∗1AvivNavon∗1EthanFetaya1GalChechik12Abstractwhileminimizingcommunication.Unfortunately,learningasingleglobalmodelmayfailwhenthedatadist...
Learning Using Personalized Federated Hypernetworks
2023-11-16 19:28:2819732.01 MB7
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Path Planning Using Neural A Search
PathPlanningUsingNeuralASearchRyoYonetani1TatsunoriTaniai1MohammadaminBarekatain12MaiNishimura1AsakoKanezaki3Abstract(a)InputANeuralAWepresentNeuralA,anoveldata-drivensearchGoalmethodforpathplannin...
Neural Using Search Path Planning
2023-11-16 19:28:2819722 MB16
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Parallel Droplet Control in MEDA Biochips Using Multi-Agent Reinforcement Learning
ParallelDropletControlinMEDABiochipsUsingMulti-AgentReinforcementLearningTung-CheLiang1JinZhou1Yun-ShengChan2Tsung-YiHo3KrishnenduChakrabarty1Chen-YiLee2Abstract1.IntroductionMicroﬂuidicbiochipsar...
Using in Control Parallel Droplet
2023-11-16 19:28:2715228.86 MB29
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On Recovering from Modeling Errors Using Testing Bayesian Networks
OnRecoveringfromModelingErrorsUsingTestingBayesianNetworksHaiyingHuang1AdnanDarwiche1Abstracttoprovideguaranteesonthelearnedfunctions.Yet,model-basedsupervisedlearninghasbeenoutperformedbytheWecons...
from Using on Testing Modeling
2023-11-16 19:15:441060589.15 KB7
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MorphVAE Generating Neural Morphologies from 3D-Walks Using a Variational Autoencoder with Spherical Latent Space
MorphVAE:GeneratingNeuralMorphologiesfrom3D-WalksUsingaVariationalAutoencoderwithSphericalLatentSpaceSophieLaturnus1PhilippBerens123Abstractputsitreceivesandwherethecomputedoutputsaresentto(Hilleta...
Neural from Using Generating MorphVAE
2023-11-16 19:15:2915157.59 MB23
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Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
LearningNodeRepresentationsUsingStationaryFlowPredictiononLargePaymentandCashTransactionNetworksCiwanCeylan12SallaFranze´n2FlorianT.Pokorny1AbstractannualGDP(UnitedNationsofﬁceondrugsandcrime,201...
Learning Representations Using Node Prediction
2023-11-16 19:05:0213231.51 MB26
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Intermediate Layer Optimization for Inverse Problems Using Deep Generative Models
IntermediateLayerOptimizationforInverseProblemsUsingDeepGenerativeModelsGiannisDaras1JosephDean1AjilJalal1AlexandrosG.Dimakis1Abstractthatrelyonapre-trainedgenerator,buildingonthegeneralframeworkin...
for Using Optimization Inverse Layer
2023-11-16 18:47:0410639.51 MB10
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