Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions. - Tim Sainburg; Marvin Thielk; Brad Theilman; Benjamin Migliori; Timothy Gentner (CoRR, 2018)

Animal Vocalization Generative Network (AVGN): A method for visualizing, understanding, and sampling from animal communicative repertoires. - Tim Sainburg; Marvin Thielk; Timothy Gentner (CogSci, 2019)

Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning. - Tim Sainburg; Leland McInnes; Timothy Q. Gentner (CoRR, 2020)

Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires. - Tim Sainburg; Marvin Thielk; Timothy Q. Gentner (PLoS Comput. Biol., 2020)

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. - Willem H. Zuidema; Robert M. French; Raquel G. Alhama; Kevin Ellis; Timothy J. O'Donnell; Tim Sainburg; Timothy Gentner (Top. Cogn. Sci., 2020)

Long-range sequential dependencies precede complex syntactic production in language acquisition. - Tim Sainburg; Anna Mai; Timothy Gentner (CogSci, 2021)

Parametric UMAP Embeddings for Representation and Semisupervised Learning. - Tim Sainburg; Leland McInnes; Timothy Q. Gentner (Neural Comput., 2021)

Local field potentials in a pre-motor region predict learned vocal sequences. - Daril E. Brown II; Jairo I. Chavez; Derek H. Nguyen; Adam Kadwory; Bradley Voytek; Ezequiel M. Arneodo; Timothy Q. Gentner; Vikash Gilja (PLoS Comput. Biol., 2021)

Guiding Brain-to-Vocalization Decoder Design Using Structured Generalization Error. - Jingya Huang; Pablo Tostado-Marcos; Sowmya Manojna Narasimha; Aashish N. Patel; Ezequiel M. Arneodo; Timothy Q. Gentner; Gal Mishne; Vikash Gilja (EMBC, 2024)

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark. - Brianna Karpowicz; Joel Ye; Chaofei Fan; Pablo Tostado-Marcos; Fabio Rizzoglio; Clayton Washington; Thiago Scodeler; Diogo de Lucena; Samuel R. Nason-Tomaszewski; Matthew Mender; Xuan Ma; Ezequiel M. Arneodo; et al. (NeurIPS, 2024)