2024
Noisereduce: Domain General Noise Reduction for Time Series Signals.
CoRR, 2024

2021
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

2020
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

2019
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

2018
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions.
CoRR, 2018