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Anshula Gandhi

Publications and source records attributed to Anshula Gandhi.

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A Structural Condition on Point Sets with Few Distinct Dot Products

The distinct dot products problem, a variant of the Erdős distinct distances problem, asks "Given a set $P_n$ of $n$ points in $\mathbb{R}^2$, what is the minimum number $|D(P_n)|$ of distinct dot products they determine?" The best proven lower bound is $|D(P_n)| = Ω(n^{2/3+7/1425})$, due to work by Hanson$\unicode{x2013}$Roche-Newton$\unicode{x2013}$Senger, and a recent improvement by Kokkinos. However, the best known construction determines $Θ(n)$ dot products. We provide a structural condition that a point configuration $P_n$ would have to satisfy in order to have 'few' dot products, by which we mean that $|D(P_n)| < n^{\frac{3}{4}(1-ε)}$ for some $ε> 0$.

math.CO

Neural-guided, Bidirectional Program Search for Abstraction and Reasoning

One of the challenges facing artificial intelligence research today is designing systems capable of utilizing systematic reasoning to generalize to new tasks. The Abstraction and Reasoning Corpus (ARC) measures such a capability through a set of visual reasoning tasks. In this paper we report incremental progress on ARC and lay the foundations for two approaches to abstraction and reasoning not based in brute-force search. We first apply an existing program synthesis system called DreamCoder to create symbolic abstractions out of tasks solved so far, and show how it enables solving of progressively more challenging ARC tasks. Second, we design a reasoning algorithm motivated by the way humans approach ARC. Our algorithm constructs a search graph and reasons over this graph structure to discover task solutions. More specifically, we extend existing execution-guided program synthesis approaches with deductive reasoning based on function inverse semantics to enable a neural-guided bidirectional search algorithm. We demonstrate the effectiveness of the algorithm on three domains: ARC, 24-Game tasks, and a 'double-and-add' arithmetic puzzle.

cs.AI