Our first seminar of 2026 is coming up! 🎉 Tue, Jan 13: Bohan Wu (Columbia University) will speak on “Stability, instability, and extension of variational inference.” Zoom link on the seminar page. #VariationalInference #MCMC #Bayesian #OptimalTransport

📘 New Theoretical Framework Drop: Stable & Convexified Information Bottleneck → informationbottleneck.com This work addresses critical instabilities in the classical IB formulation — particularly the non-smooth behavior of p(z|x) under β-phase transitions. ✅ Convexified objective with entropy regularization ✅ Smooth representation flow with no sudden collapse ✅ Symbolic reformulation aligned with mutual information geometry ✅ Compatible with deterministic & variational approximations ✅ Supports continuous β-path tracking (∂L/∂β ∈ C⁰) ✅ Ready for integration in high-dimensional encoders (e.g., ViT, ResNets) Now being applied to symbolic bottlenecks, interpretability flows, and compressed multi-modal fusion. 📎 Read the full theoretical breakdown and join the post-IB evolution. #InformationBottleneck #ConvexOptimization #MutualInformation #DeepLearningTheory #VariationalInference #SymbolicML #RateDistortion #InformationTheory #NeuralCompression #BetaPhaseTransition #RepresentationStability #FarukAlpay #IBFramework #ThermodynamicLearning #DataEncoding #SignalDeformation #LayerwiseCompressibility #IBObjective #AdaptiveRepresentation #PhaseSmoothness #DeterministicBottleneck #XAI #MLFormalism #VariationalBound #JensenGap #NeuralInformationFlow #DifferentiableInformation #InformationTopology #MLTheory #StatisticalLearning #AIResearch

"Navigating uncertainty in an efficient way: the negative of ELBO is known as variational free energy in neuroscience." Artem Kirsanov Explore how Variational Inference and ELBO enable intelligent systems to model probability distributions tractably. #VariationalInference #ELBO #ProbabilityModeling #Neuroscience youtube.com/watch?v=laaBLUxJ…

Careless, a program for scaling diffraction data using the Bayesian optimization method variational inference, is introduced and is contrasted with historical scaling algorithms @harvard @IUCr #XRayCrystallography #Scaling #VariationalInference doi.org/10.1107/S20597983230…

New episode is out! All about #MCMC & #VariationalInference Enjoy, and get in touch for any feedback or suggestions ;)

Today we had our Third NeEDS Workshop On the Latest Advances in #MachineLearning to Deal with Complex Data at Copenhagen Business School @needs_project @CBScph @CBS_ECON #XAI #orms #transparency #datadriven #decisionmaking #causalinference #spatialdata #variationalinference 1/n

For #machinelearning enthusiasts, a specially structured #variationalinference is used with cell state proportions as auxiliary variables ➕ a variational information bottleneck approach (PoE) for histology integration 💻 6/

Looking forward to attending (and speaking at) a workshop on Monte Carlo methods and approximate dynamic programming (variational inference) in Paris Aug. 25-26! #MonteCarlo #VariationalInference #Bayes #Statistics #DeepLearning #MachineLearning workshop-on-monte-carlo2022.…

Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection Bhatia et al.: arxiv.org/abs/2207.11208 #Artificialintelligence #DeepLearning #VariationalInference

Bayesian Gaussian mixtures provide an amazing example of how hard integrals can become in #MachineLearning and why we would need #VariationalInference. Have a look at this 🧵👇 #artificalintelligence #AI #DataScience #DataScientist #Computertechnology #informationtechnology

#MachineLearning #ArtificialIntelligence #teaching #Mathematics #Robot #VariationalInference

Improving the Classification Effectiveness of #IntrusionDetection by Using Improved Conditional Variational AutoEncoder and #DeepNeuralNetwork mdpi.com/1424-8220/19/11/252… #intrusiondetection #variationalinference #DeepNeuralNetwork

#mdpientropy "Sampling the Variational Posterior with Local Refinement" mdpi.com/1099-4300/23/11/147… #bayesianinference #variationalinference #deepneuralnetworks #contextualbandits

Pathfinder: Parallel quasi-Newton variational inference Zhang et al.: arxiv.org/abs/2108.03782 #ArtificialIntelligence #DeepLearning #VariationalInference

We've built a model that estimates a distribution of all potential solutions for image reconstruction. Try it yourself on your own image, and post the video below. Takes 5 min. /1 colab.research.google.com/dr… #VariationalInference #StyleGAN #BayesianDL

Nested Variational Inference Zimmermann et al.: arxiv.org/abs/2106.11302 #ArtificialIntelligence #DeepLearning #VariationalInference

#mdpientropy "Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data" mdpi.com/1099-4300/23/5/552 #latentvariablemodels #Bayesnets #Betadistribution #expectationmaximization #variationalinference

Lecture 10 #SingleCell #Genomics with @Fabian_Theis @_Romain_Lopez_ @YosefLab @GokcenEraslan youtube.com/watch?v=NNOkdgE4… #scRNA #scATAC #SMARTseq #DropSeq @10xGenomics #sciRNA #SPLiTseq #DCA #LatentSpace #TransferLearning @HumanCellAtlas #scVI #VariationalInference #VariationalBayes

#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1/117 deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning

Thanks to @RogerGrosse for hosting me at @VectorInst. A recording of my talk on #variationalinference for neural compression can be found here: youtube.com/watch?v=7TM_Yn78…