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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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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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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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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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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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- 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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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
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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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 @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@ClaudiusKrauseAre you interested to learn what #NormalizingFlows can do for #ParticlePhysics? Join us on zoom this Thursday, 28.3., for a #COMETA WG2 meeting on "Normalizing Flows for HEP". We'll start at 10am CET. More infos: @multibosons spread the news!013275
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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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
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RBC Borealis@RBCBorealisWe're happy to share that @TmlrOrg recently accepted our paper on "Efficient CDF Approximations for Normalizing Flows" by Chandramouli Sastry, Andreas Lehrmann, @marcusabrubaker and @Alex_Radovic. You can read it here: #CDF #normalizingflows #ML
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Crossminds.ai@CrossmindsAI{#NeurIPS2020 Talk] Gradient Boosted Normalizing Flows by researchers from @UMNComputerSci#paperwithvideo #machinelearning #normalizingflows #autoencoder #VAE #deeplearning #densityestimation034- 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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Super proud of my good friend Lorenz for his first 1st author paper! and what a paper!!!😃 #NormalizingFlows #Oral #ICML2022Lorenz Vaitl @LVaitlDid you know you can improve the training of your reparametrized generative model using a doubly reparametrized gradient estimator? Here is a short thread for our #ICML2022 paper that develops an efficient algorithm for using these estimators for Continuous Normalizing Flows.1226
Lorenz Vaitl@LVaitlDid you know you can improve the training of your reparametrized generative model using a doubly reparametrized gradient estimator? Here is a short thread for our #ICML2022 paper that develops an efficient algorithm for using these estimators for Continuous Normalizing Flows.
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greenlight@skk1110111Normalizing Flows Tutorial, Part 1: Distributions and Determinants #deeplearning #machinelearning #normalizingflows000- Show more posts
