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Vy Ai Vo
Vy Ai Vo
AI/ML Research Scientist, Intel Labs (PhD in Computational Neuroscience)
Geverifieerd e-mailadres voor intel.com - Homepage
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Young children bet on their numerical skills: Metacognition in the numerical domain
VA Vo, R Li, N Kornell, A Pouget, JF Cantlon
Psychological science 25 (9), 1712-1721, 2014
1142014
Inverted encoding models assay population-level stimulus representations, not single-unit neural tuning
TC Sprague, KCS Adam, JJ Foster, M Rahmati, DW Sutterer, VA Vo
eNeuro 5 (3), 2018
592018
Spatial tuning shifts increase the discriminability and fidelity of population codes in visual cortex
VA Vo, TC Sprague, JT Serences
Journal of Neuroscience 37 (12), 3386-3401, 2017
512017
Dissociable signatures of visual salience and behavioral relevance across attentional priority maps in human cortex
TC Sprague, S Itthipuripat, VA Vo, JT Serences
Journal of neurophysiology 119 (6), 2153-2165, 2018
462018
Value-driven attentional capture enhances distractor representations in early visual cortex
S Itthipuripat, VA Vo, TC Sprague, JT Serences
PLoS biology 17 (8), e3000186, 2019
242019
BrainIAK: The brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture Neuro, 2020
172020
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
R Antonello, J Turek, V Vo, A Huth
Neural Information Processing Systems (NeurIPS) 35, 2021
122021
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
JS Turek, S Jain, V Vo, M Capotă, AG Huth, TL Willke
International Conference on Machine Learning (ICML) 37, 9648-9658, 2020
10*2020
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
S Jain, VA Vo, S Mahto, A LeBel, JS Turek, AG Huth
Neural Information Processing Systems (NeurIPS) 33, 2020
92020
Multivariate analysis of BOLD activation patterns recovers graded depth representations in human visual and parietal cortex
M Henderson*, V Vo*, C Chunharas, T Sprague, J Serences
eNeuro 6 (4), 2019
92019
Multi-timescale representation learning in LSTM Language Models
S Mahto, VA Vo, JS Turek, AG Huth
International Conference on Learning Representations (ICLR) 9, 2021
62021
Shared Representational Formats for Information Maintained in Working Memory and Information Retrieved from Long-Term Memory
VA Vo, DW Sutterer, JJ Foster, TC Sprague, E Awh, JT Serences
Cerebral Cortex 32 (5), 1077-1092, 2022
52022
Self-supervised learning system for anomaly detection with natural language processing and automatic remediation
JS Turek, V Vo, J Perez-Ramirez, M Carranza, M Guzman, ...
US Patent 11,409,594, 2022
12022
Technology to learn and offload common patterns of memory access and computation
V Vo, D Sengupta, M Tepper, JS Turek
US Patent 11,403,102, 2022
12022
System to analyze and enhance software based on graph attention networks
M Tepper, B Keller, M Capota, V Vo, N Ahmed, T Willke
US Patent App. 16/913,756, 2020
12020
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective
G Ma, V Vo, T Willke, NK Ahmed
arXiv preprint arXiv:2209.10818, 2022
2022
Long Short-Term Memory with Slower Information Decay
HYS Chien, JS Turek, NM Beckage, VA Vo, C Honey, TL Willke
International Conference on Machine Learning Conference: LatinX in AI (LXAI …, 2021
2021
Technology to generalize safe driving experiences for automated vehicle behavior prediction
IJ Alvarez, V Vo, JF Leon, J Perez-Ramirez, JS Turek, M Tepper, ...
US Patent App. 16/914,298, 2021
2021
Technology to handle ambiguity in automated control systems
I Alvarez, T Anderson, V Vo, JF Leon, J Perez-Ramirez
US Patent App. 16/913,845, 2020
2020
The effects of attentional scope on voxel receptive fields and population codes for space
V Vo, J Serences
Journal of Vision 18 (10), 1191-1191, 2018
2018
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Artikelen 1–20