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20192026
most citedAnalyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering

8 citations · 9 across the 8 of their papers we have counts for

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cs.FL2023

Learning Deterministic Finite Automata from Confidence Oracles

Wilson Wu

We discuss the problem of learning a deterministic finite automaton (DFA) from a confidence oracle. That is, we are given access to an oracle with incomplete knowledge of some…