Marcus Brubaker@marcusabrubaker
Attending #CVPR2021 and interested to learn more about #NormalizingFlows, invertible nets and their use in #ComputerVision? Check out my tutorial with Ullrich Köthe starting tomorrow at 10am ET!
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Posts with #Normalizingflows
#Normalizingflows
Public posts on X that use #Normalizingflows.
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Pablo Sánchez@ML_pablosm👀 Curious about how to answering causal queries of mixed-type data? 🎯 Don't miss our latest work! We provide an answer to such question and much much more! 🧵Check out the amazing thread by @javaloyML #NormalizingFlows #CausalInferenceAdrián Javaloy @javaloyMLHi! I am happy to announce our latest work (with @ML_pablosm and @IValeraM) ... 🥁 🚨 Causal normalizing flows: from theory to practice 🚨 I am really excited about this work! Check this image, and scroll down if you want to know more 👀 1/1012141.8K
Adrián Javaloy@javaloyMLHi! I am happy to announce our latest work (with @ML_pablosm and @IValeraM) ... 🥁 🚨 Causal normalizing flows: from theory to practice 🚨 I am really excited about this work! Check this image, and scroll down if you want to know more 👀 1/10
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Monte Carlo Seminar@OnlineMCSeminarNext seminar (Tue, Jan 27): Manon Michel (CNRS, Univ. Clermont-Auvergne) “Harnessing Newtonian dynamics in generative models”. How laws of motion can make normalizing flows faster, cheaper, and more stable in high dimensions. #GenerativeModels #NormalizingFlows #MachineLearning
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Steve Kroon@skroonThanks to @JaneStreetGroup and @DepthFirstLearn for this exciting initiative! I'm looking forward to exploring @shakir_za and @DeepSpiker's #normalizingflows with enthusiastic students - sign up if you're interested in this or one of the other groups atDepth First Learning @DepthFirstLearnWe are super proud to announce the 2019 DFL Jane Street Fellows! They will each be leading a group towards deeply understanding a machine learning paper and its associated topics. In palindromic order, they (and their target papers) are:2519
Depth First Learning@DepthFirstLearnWe are super proud to announce the 2019 DFL Jane Street Fellows! They will each be leading a group towards deeply understanding a machine learning paper and its associated topics. In palindromic order, they (and their target papers) are:2642
Machine Learning: Science and Technology@MLSTjournalGreat new work by @GiulioBiroli @LudovicBerthie1 @CNRSphysique @ESPCI_Paris @LP_ENS_ @Physique_ENS @liphy_lab - '#Normalizingflows as an enhanced sampling method for #atomistic supercooled #liquids' - #machinelearning #statphys #glasses #softmatter #AI
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Sensors MDPI@Sensors_MDPIRobust Reconstruction of the Void Fraction from Noisy Magnetic Flux Density Using Invertible Neural Networks @tudresden_de #machinelearning; #invertibleneuralnetworks; #normalizingflows
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Eleonora Grassucci@eleonoragrassucExceptional talk by @nielsen_didrik on #NormalizingFlows with an overview on Coupling, Autoregressive, Continuous, Residual, Discrete and Surjective flows at @probabilisticai! Many thanks to the author, the webinar was amazing!
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Using #normalizingflows for #GravitationalWaves population analysis! [Left]: using normalizing flow for the likelihood. [Right]: using analytic likelihood. But you can make normalizing flow likelihood from training data w/o analytical assumptions
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The Journal of Physical Chemistry@JPhysChemReplica exchange is a popular method for improving sampling in #MolecularDynamics. #NormalizingFlows are a promising deep generative method. Their combination can reduce the computational cost of both by orders of magnitude! @inve_michele @FrankNoeBerlin012689.8K
Claudius Krause@ClaudiusKrausePre Christmas #HEPML papers, part 3 Together with Ben Nachman (@BPNachman), Ian Pang, David Shih, and Yunhao Zhu, we wondered: When you learn to simulate #CalorimeterShowers with #NormalizingFlows, what else can you do with the likelihood of showers that you now have access to?
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ML Group, TU Berlin@ml_tuberlin🔉 Check out the camera ready version of the #ICLR2024 paper by @LVaitl @ludiXIVwinkler @lorenz_richter and @daspantom in collaboration with @bifoldberlin @ZuseInstitute @dida_ML and @PrescientDesign! #MachineLearning #NormalizingFlowsLorenz Vaitl @LVaitlWe're excited to present our paper "Fast and Unified Path Gradient Estimators for Normalizing Flows" at #ICLR2024 in two weeks! 🎉 This work focuses on deriving efficient gradient estimators for coupling-type normalizing flows using the inverse function theorem.04132.3K
Lorenz Vaitl@LVaitlWe're excited to present our paper "Fast and Unified Path Gradient Estimators for Normalizing Flows" at #ICLR2024 in two weeks! 🎉 This work focuses on deriving efficient gradient estimators for coupling-type normalizing flows using the inverse function theorem.
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/MachineLearning@slashMLDiscrete vs. Continuous Normalizing Flows #deeplearning #normalizingflows0001.8K- Machine Learning: Science and Technology@MLSTjournalGreat new work by @eyal8615 and Daniel Freedman @Verily - 'Semi-equivariant conditional #normalizingflows, with applications to target-aware molecule generation' - #machinelearning #AI #graphs #neuralnetworks #compchem #molecules #quantum
00114.2K - Claudius Krause@ClaudiusKrausePre Christmas #HEPML papers, part 2. Together with Florian Ernst, Luigi Favaro, Tilman Plehn, and David Shih, we investigate how we can go beyond CaloFlow and scale #NormalizingFlows up to high-dimensional #Calorimeter data, while still being really fast in generation. 1/5107298
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows Lee et al.: #ArtificialIntelligence #DeepLearning #NormalizingFlows
165- Machine Learning: Science and Technology@MLSTjournalGreat new work by @Alegendree @RickyTQChen @RoVargasHdz @McMasterCCB @AIatMeta @BIMR_McMaster - 'Leveraging #normalizingflows for orbital-free density functional theory' - #machinelearning #electronicstructure #compchem #DFT #materials #condmat #AI
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Crossminds.ai@CrossmindsAI{#NeurIPS2020 Talk] Gradient Boosted Normalizing Flows by researchers from @UMNComputerSci#paperwithvideo #machinelearning #normalizingflows #autoencoder #VAE #deeplearning #densityestimation034
bialik@bialik_I'm learning OpenGL by playing around with continuous #normalizingflows. This weekend added SSAO, gives it so much more structure. For next weekend maybe depth-of-field? #wip #creativecoding
013- Machine Learning: Science and Technology@MLSTjournalGreat new work by @jmgduarte @rkansal47 @Mary_Touranakou et al @Unesp_Oficial @UCSDPhysics @UCSanDiego @CMSExperiment @CERN @DataSciSchools @dit_uoa @uoaofficial - '#LHC hadronic jet generation using convolutional variational ##autoencoders with #normalizingflows' - #machinelearning #HEP #particlephysics #AI #jets #collisions
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