A Compilation of Succinctness Results for Arithmetic Circuits
Alexis de Colnet, Stefan Mengel

TL;DR
This paper investigates the relative succinctness of various classes of arithmetic circuits with structural restrictions, providing a comprehensive map of their expressive power and demonstrating exponential lower bounds for certain functions.
Contribution
It extends existing succinctness results from Boolean circuits to monotone and positive arithmetic circuits, offering new insights into their relative expressive efficiency.
Findings
Unconditional succinctness map for monotone AC classes.
No difference in succinctness between monotone and positive AC for deterministic circuits.
Exponential lower bounds for representing certain functions in positive AC with structured decomposability.
Abstract
Arithmetic circuits (AC) are circuits over the real numbers with 0/1-valued input variables whose gates compute the sum or the product of their inputs. Positive AC -- that is, AC representing non-negative functions -- subsume many interesting probabilistic models such as probabilistic sentential decision diagram (PSDD) or sum-product network (SPN) on indicator variables. Efficient algorithms for many operations useful in probabilistic reasoning on these models critically depend on imposing structural restrictions to the underlying AC. Generally, adding structural restrictions yields new tractable operations but increases the size of the AC. In this paper we study the relative succinctness of classes of AC with different combinations of common restrictions. Building on existing results for Boolean circuits, we derive an unconditional succinctness map for classes of monotone AC -- that…
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Taxonomy
TopicsFormal Methods in Verification · Bayesian Modeling and Causal Inference · Machine Learning and Algorithms
