| Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires T Sainburg, M Thielk, TQ Gentner PLoS computational biology 16 (10), e1008228, 2020 | 205* | 2020 |
| Parametric UMAP Embeddings for Representation and Semisupervised Learning T Sainburg, L McInnes, TQ Gentner Neural Computation 33 (11), 2881-2907, 2021 | 197 | 2021 |
| Parallels in the sequential organization of birdsong and human speech T Sainburg, B Theilman, M Thielk, TQ Gentner Nature communications 10 (1), 3636, 2019 | 68 | 2019 |
| Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions T Sainburg, M Thielk, B Theilman, B Migliori, T Gentner arXiv preprint arXiv:1807.06650, 2018 | 66 | 2018 |
| Toward a computational neuroethology of vocal communication: from bioacoustics to neurophysiology, emerging tools and future directions T Sainburg, TQ Gentner Frontiers in Behavioral Neuroscience 15, 811737, 2021 | 22 | 2021 |
| A practical guide for generating unsupervised, spectrogram‐based latent space representations of animal vocalizations M Thomas, FH Jensen, B Averly, V Demartsev, MB Manser, T Sainburg, ... Journal of Animal Ecology 91 (8), 1567-1581, 2022 | 21 | 2022 |
| Deep learning of potential outcomes B Koch, T Sainburg, P Geraldo, S Jiang, Y Sun, JG Foster arXiv preprint arXiv:2110.04442, 2021 | 14 | 2021 |
| Five ways in which computational modeling can help advance cognitive science: Lessons from artificial grammar learning W Zuidema, RM French, RG Alhama, K Ellis, TJ O'Donnell, T Sainburg, ... Topics in cognitive science 12 (3), 925-941, 2020 | 13 | 2020 |
| noisereduce: Noise reduction in python using spectral gating T Sainburg https://doi.org/10.5281/zenodo.3243139, 2019 | 11* | 2019 |
| Latent space visualization, characterization, and generation of diverse vocal communication signals. bioRxiv T Sainburg, M Thielk, TQ Gentner | 9 | 2019 |
| Combining biological and artificial approaches to understand perceptual spaces for categorizing natural acoustic signals M Thielk, T Sainburg, T Sharpee, T Gentner Conference on Cognitive Computational Neuroscience, 1-4, 2018 | 7* | 2018 |
| Long-range sequential dependencies precede complex syntactic production in language acquisition T Sainburg, A Mai, TQ Gentner Proceedings of the Royal Society B 289 (1970), 20212657, 2022 | 5 | 2022 |
| Learned context dependent categorical perception in a songbird T Sainburg, M Thielk, T Gentner Conference on Cognitive Computational Neuroscience, 1-4, 2018 | 5 | 2018 |
| American postdoctoral salaries do not account for growing disparities in cost of living T Sainburg Research Policy 52 (3), 104714, 2023 | 4 | 2023 |
| An acoustically isolated European starling song library Z Arneodo, T Sainburg, J Jeanne, T Gentner Zenodo, 2019 | 4 | 2019 |
| Syntactic modulation of rhythm in Australian pied butcherbird song J Xing, T Sainburg, H Taylor, TQ Gentner Royal Society Open Science 9 (9), 220704, 2022 | 3 | 2022 |
| Animal Vocalization Generative Network (AVGN): A method for visualizing, understanding, and sampling from animal communicative repertoires. T Sainburg, M Thielk, T Gentner CogSci 1, 3563, 2019 | 2 | 2019 |
| Context-dependent sensory modulation underlies Bayesian vocal sequence perception T Sainburg, TS McPherson, EM Arneodo, S Rudraraju, M Turvey, ... bioRxiv, 2022.04. 14.488412, 2022 | 1 | 2022 |
| Deep Learning for Causal Inference B Koch, T Sainburg, P Geraldo, S Jiang, Y Sun, JG Foster SocArXiv. October 10, 2021 | 1 | 2021 |
| Temporal organization in vocal communication: sequential structure, perceptual integration, and neural foundations T Sainburg University of California, San Diego, 2021 | 1 | 2021 |
