Introduction to Popl 24 Probabilistic Programming Interfaces For Random Graphs Markov Categories Graph
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Popl 24 Probabilistic Programming Interfaces For Random Graphs Markov Categories Graph Comprehensive Overview
Jules Jacobs (Radboud University Nijmegen) Paper: https://dl.acm.org/doi/pdf/10.1145/3434339 Abstract Compositional Imprecise Asynchronous
Markov
Summary & Highlights for Popl 24 Probabilistic Programming Interfaces For Random Graphs Markov Categories Graph
- Lecture: Computer Vision (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems ...
- Presented by Hongseok Yang. Presented at
- Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-
- Probabilistic programming
- Static Prediction of Parallel Computation
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