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  • Publications
    • Exact Inference Optimization in Discrete Graphical Models
    • Probabilistic inference in the era of tensor networks and differential programming
    • On the Importance of the Execution Schedule for Bayesian Inference
    • Pushing the Boundaries of Probabilistic Inference through Message Contraction Optimization
    • TensorInference: A Julia package for tensor-based probabilistic inference
    • Scaling Probabilistic Inference through Message Contraction Optimization
    • Partial Evaluation in Junction Trees
    • Real-Time Audio Processing for Hearing Aids Using a Model-Based Bayesian Inference Framework
    • Learning Where to Park
    • 3D Face Reconstruction using Structured Light on a Hand-held Device
    • Bird in the Hand: An Electronic Field Guide App for Bird Watchers
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  • Talks
    • Probabilistic inference using contraction of tensor networks
    • JunctionTrees.jl - Efficient Bayesian Inference in Discrete Graphical Models
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