Tim Sainburg

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 8

Top Topics

Graph Transduction

Latent Structure

Semisupervised Learning

Computational Model

Top Venues

Top. Cogn. Sci.

Publications

Tim Sainburg, Anna Mai, Timothy Gentner
Long-range sequential dependencies precede complex syntactic production in language acquisition. CogSci (2021)
Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster
Deep Learning of Potential Outcomes. CoRR (2021)
Tim Sainburg, Leland McInnes, Timothy Q. Gentner
Parametric UMAP Embeddings for Representation and Semisupervised Learning. Neural Comput. 33 (11) (2021)
Tim Sainburg, Marvin Thielk, Timothy Q. Gentner
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires. PLoS Comput. Biol. 16 (10) (2020)
Willem H. Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg, Timothy Gentner
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. Top. Cogn. Sci. 12 (3) (2020)
Tim Sainburg, Leland McInnes, Timothy Q. Gentner
Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning. CoRR (2020)
Tim Sainburg, Marvin Thielk, Timothy Gentner
Animal Vocalization Generative Network (AVGN): A method for visualizing, understanding, and sampling from animal communicative repertoires. CogSci (2019)
Tim Sainburg, Marvin Thielk, Brad Theilman, Benjamin Migliori, Timothy Gentner
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions. CoRR (2018)