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Vaishak Belle's Projects

allegro icon allegro

Knowledge-based programming in mixed discrete-continuous dynamic spaces

approxwmi icon approxwmi

Scalable approximate probabilistic inference in mixed discrete-continuous spaces with strong confidence guarantees

cpaior23-d icon cpaior23-d

Generating Random Instances of Weighted Model Counting

dnl-nl icon dnl-nl

One approach to explaining hierarchical levels of understanding within machine learning is the symbolic method of inductive logic programming (ILP), capable of learning logical rules that entail instances. ILP constructs logic programs from sets of ground atoms and background assumptions. Positive and negative instances are included which help defi

pac-smt-arithmetic icon pac-smt-arithmetic

Combining Probably Approximately Correct (PAC) semantics with arithmetic Satisfiability Modulo Theories (SMT)

pandor icon pandor

AND-OR search algorithm for finite state controllers in a probabilistic environment

prego icon prego

Symbolic regression for probabilistic reasoning in mixed discrete-continuous dynamic spaces

py-xadd icon py-xadd

A python implementation of (some) XADD functionality

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