Posts with #BayesianInference

#BayesianInference

Public posts on X that use #BayesianInference.

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  1. ReactiveBayes@ReactiveBayes
    🚀 An update from the RxInfer team! We've added an experimental implementation of the Recurrent Switching Linear Dynamical Systems (RSLDS) model, inspired by Linderman et al.'s work ( Check it out here #BayesianInference #RxInfer
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  2. ReactiveBayes@ReactiveBayes
    🚀 RxInfer v4.0.0 is here! New features include performance tracking, session monitoring & sharing, and improved HMM/POMDP examples. Breaking changes: Transition → DiscreteTransition, MatrixDirichlet → DirichletCollection. Try it now! #MachineLearning #BayesianInference
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  3. Maria Gorinova@migorinova
    "Program Analysis of Probabilistic Programs" My PhD thesis is now available on arXiv! Contains: - A short intro to #BayesianInference - An intro to #ProbabilisticProgramming with examples in different PPLs - PPL program analysis papers with commentary
    1087557
  4. Manning Publications✓@ManningBooks
    📣 Deal of the Day 📣 Oct 6 HALF OFF NEW MEAP! Grokking Bayes & selected titles: A complete guide to thinking in Bayes, full of fun illustrations and friendly introductions. @the_subtrahend #Bayesian #BayesianStatistics #BayesianInference #ProbabilisticProgramming #PyMC #stats #statistics Bayesian statistics is a framework for reasoning under uncertainty. You'll first build an intuition, and then translate that intuition into working code with Python tools like the PyMC library and ArviZ package. Along the way, you'll explore how Bayesian ideas connect to modern AI, from uncertainty-aware deep learning to LLM applications.
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    115816
  5. Lazy Dynamics@LazyDynamics
    Real-time Bayesian planning for robotics, powered by our RxInfer SDK. Watch a drone dodge moving obstacles—live. Fast. Adaptive. Edge-ready. We’re partnering with robotics teams—DM us. #Robotics #BayesianInference #RxInfer
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    0314609
  6. ReactiveBayes@ReactiveBayes
    🚀 Calling all Bayesian enthusiasts! @ReactiveBayes needs YOU to shape the future of reactive, efficient & scalable inference. Join us in building Bayesian-driven autonomous agents with RxInfer.jl. Fork, contribute, discuss at #BayesianInference #Julia
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  7. Andreas Kirsch 🇺🇦✓@BlackHC
    Just published part 2 of my blog post series on Function-Space Variational Inference (FSVI) and the Data Processing Inequality (DPI). 🥳 Let's dive into FSVI and how it focues on predictions rather than parameters 🧵 #MachineLearning #BayesianInference
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