Seuraa
Marvin Thielk
Marvin Thielk
Vahvistettu sähköpostiosoite verkkotunnuksessa ucsd.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires
T Sainburg, M Thielk, TQ Gentner
PLoS computational biology 16 (10), e1008228, 2020
1802020
Parallels in the sequential organization of birdsong and human speech
T Sainburg, B Theilman, M Thielk, TQ Gentner
Nature communications 10 (1), 3636, 2019
692019
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
662018
In vivo dopamine detection and single unit recordings using intracortical glassy carbon microelectrode arrays
E Castagnola, NW Vahidi, S Nimbalkar, S Rudraraju, M Thielk, E Zucchini, ...
MRS advances 3 (29), 1629-1634, 2018
432018
Latent space visualization, characterization, and generation of diverse vocal communication signals
T Sainburg, M Thielk, TQ Gentner
BioRxiv, 870311, 2019
322019
Examining linguistic shifts between preprints and publications
DN Nicholson, V Rubinetti, D Hu, M Thielk, LE Hunter, CS Greene
PLoS Biology 20 (2), e3001470, 2022
122022
Latent space visualization, characterization, and generation of diverse vocal communication signals. bioRxiv
T Sainburg, M Thielk, TQ Gentner
92019
Linguistic Analysis of the bioRxiv Preprint Landscape
DN Nicholson, V Rubinetti, D Hu, M Thielk, LE Hunter, CS Greene
bioRxiv, 2021.03. 04.433874, 2021
72021
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
72018
Latent space visualization, characterization, and generation of diverse vocal communication signals. bioRxiv, 870311
T Sainburg, M Thielk, TQ Gentner
62019
Learned context dependent categorical perception in a songbird
T Sainburg, M Thielk, T Gentner
Conference on Cognitive Computational Neuroscience, 1-4, 2018
52018
TalkUp: Paving the Way for Understanding Empowering Language
L Njoo, C Park, O Stappart, M Thielk, Y Chu, Y Tsvetkov
Findings of the Association for Computational Linguistics: EMNLP 2023, 9334-9354, 2023
22023
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
22019
Talkup: A novel dataset paving the way for understanding empowering language
L Njoo, CY Park, O Stappart, M Thielk, Y Chu, Y Tsvetkov
arXiv preprint arXiv:2305.14326, 2023
12023
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
12022
The Unreasonable Effectiveness of Machine Learning in Neuroscience: Understanding High-dimensional Neural Representations with Realistic Synthetic Stimuli
M Thielk
University of California, San Diego, 2019
12019
Auditory Feature-based Perceptual Distance
S Chen, M Thielk, TQ Gentner
bioRxiv, 2024.02. 28.582631, 2024
2024
The Viability of Best-worst Scaling and Categorical Data Label Annotation Tasks in Detecting Implicit Bias
P Glenn, CL Jacobs, M Thielk, Y Chu
Proceedings of the 1st Workshop on Perspectivist Approaches to NLP@ LREC2022 …, 2022
2022
A Framework for Automated Extraction of Information for Clinical Decision Support from Images of Flow Charts and Decision Trees
MC Sandora, E Lima-Walton, A Kakrana, M Thielk, K Raha
Proceedings of the 4th Annual RELX Search Summit, 2020
2020
ODiSa: Offline Diversity Sampling for Efficient Goldset Generation
M Thielk, E Pons, K Raha
Proceedings of the 4th Annual RELX Search Summit, 2020
2020
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Artikkelit 1–20