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08/20/2023
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery
We propose a new parameter-adaptive uncertainty-penalized Bayesian infor...
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06/26/2022
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
This work is concerned with discovering the governing partial differenti...
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05/11/2020
Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)
In this study, we reported our exploration of Text-To-Speech without Tex...
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03/08/2019
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
We deploy the methods of controlled psycholinguistic experimentation to ...
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11/05/2018
Superregular grammars do not provide additional explanatory power but allow for a compact analysis of animal song
A pervasive belief with regard to the differences between human language...
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09/05/2018
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
Recurrent neural networks (RNNs) are the state of the art in sequence mo...
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08/31/2018