Noisereduce: Domain General Noise Reduction for Time Series Signals.
CoRR, 2024
Parametric UMAP Embeddings for Representation and Semisupervised Learning.
Neural Comput., 2021
Deep Learning of Potential Outcomes.
CoRR, 2021
Long-range sequential dependencies precede complex syntactic production in language acquisition.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.
Top. Cogn. Sci., 2020
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires.
PLoS Comput. Biol., 2020
Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning.
CoRR, 2020
Animal Vocalization Generative Network (AVGN): A method for visualizing, understanding, and sampling from animal communicative repertoires.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions.
CoRR, 2018