343 citations · 533 across the 25 of their papers we have counts for
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Translating Recursive Probabilistic Programs to Factor Graph Grammars
David Chiang, Chung-chieh Shan
It is natural for probabilistic programs to use conditionals to express alternative substructures in models, and loops (recursion) to express repeated substructures in models. Thus…
Factor Graph Grammars
David Chiang, Darcey Riley
We propose the use of hyperedge replacement graph grammars for factor graphs, or factor graph grammars (FGGs) for short. FGGs generate sets of factor graphs and can describe a more…
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation
Xing Jie Zhong, David Chiang
Despite advances in neural machine translation (NMT) quality, rare words continue to be problematic. For humans, the solution to the rare-word problem has long been dictionaries, b…
Learning Context-Free Languages with Nondeterministic Stack RNNs
Brian DuSell, David Chiang
We present a differentiable stack data structure that simultaneously and tractably encodes an exponential number of stack configurations, based on Lang's algorithm for simulating n…
Representing Unordered Data Using Complex-Weighted Multiset Automata
Justin DeBenedetto, David Chiang
Unordered, variable-sized inputs arise in many settings across multiple fields. The ability for set- and multiset-oriented neural networks to handle this type of input has been the…