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Found 2 papers, 2 papers with code
Learning Conditional Invariances through Non-Commutativity
Invariance learning algorithms that conditionally filter out domain-specific random variables as distractors, do so based only on the data semantics, and not the target domain under evaluation.
AutoQubo: data-driven automatic QUBO generation
This paper presents a general method to derive automatically a Quadratic Unconstrained Binary Optimisation (QUBO) formulation of, in principle, any combinatorial optimisation problem from its high-level description given in any programming language in a free format.
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