Automatic probabilistic programming for scientific machine learning and dynamical models
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Updated
Apr 29, 2024 - Julia
Automatic probabilistic programming for scientific machine learning and dynamical models
Algorithms for Learning Graphical Models
Causal Inference with Invariant Prediction
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
Distributionally Robust Graphical Models
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