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Tim Salimans
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Tim Salimans21 visible / 21 total nodes / 63 links

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Related contextCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipAuthorshipTim SalimansATim SalimansResearcherCovariance-aware sampling for Diffusion ModelsWCovariance-aware sampli...preprint / 2026Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light networkWDual-Rate Diffusion: Ac...preprint / 2026Emiel HoogeboomAEmiel HoogeboomResearcherJonathan HeekAJonathan HeekResearcherGrigory BartoshAGrigory BartoshResearcherDavid RuheADavid RuheResearcherThomas MensinkAThomas MensinkResearcherAndrea SchioppaAAndrea SchioppaResearcherMachine LearningTMachine Learning49008 worksComputer VisionTComputer Vision30606 worksProgressive Distillation for Fast Sampling of Diffusion ModelsWProgressive Distillatio...preprint / 2022Implementing and Automating Fixed-Form Variational Posterior Approximation through Stochastic Linear RegressionWImplementing and Automa...preprint / 2014On Using Control Variates with Stochastic Approximation for Variational Bayes and its Connection to Stochastic Linear RegressionWOn Using Control Variat...preprint / 2014Fixed-Form Variational Posterior Approximation through Stochastic Linear RegressionWFixed-Form Variational ...preprint / 2014Markov Chain Monte Carlo and Variational Inference: Bridging the GapWMarkov Chain Monte Carl...preprint / 2015A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse FeaturesWA Structured Variationa...preprint / 2016Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural NetworksWWeight Normalization: A...preprint / 2016Lossy Compression with Gaussian DiffusionWLossy Compression with ...preprint / 2022Video Diffusion ModelsWVideo Diffusion Modelspreprint / 2022Classifier-Free Diffusion GuidanceWClassifier-Free Diffusi...preprint / 2022
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Tim Salimans

Researcher

PaperCovariance-aware sampling for Diffusion ModelsAuthorship / preprint / 2026PaperDual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light networkAuthorship / preprint / 2026PersonEmiel HoogeboomCo-authorship / ResearcherPersonJonathan HeekCo-authorship / ResearcherPersonGrigory BartoshCo-authorship / ResearcherPersonDavid RuheCo-authorship / ResearcherPersonThomas MensinkCo-authorship / ResearcherPersonAndrea SchioppaCo-authorship / Researcher

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