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
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
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
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
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
BrainIAK: The brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture Neuro, 2020
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
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
Multi-timescale representation learning in LSTM Language Models
S Mahto, VA Vo, JS Turek, AG Huth
International Conference on Learning Representations (ICLR) 9, 2021
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
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
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
Computational language modeling and the promise of in silico experimentation
S Jain, VA Vo, L Wehbe, AG Huth
Neurobiology of Language, 1-65, 2023
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
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
G Ma, VA Vo, TL Willke, NK Ahmed
IEEE Transactions on Artificial Intelligence, 2023
Brain encoding models based on multimodal transformers can transfer across language and vision
J Tang, M Du, VA Vo, V Lal, AG Huth
arXiv preprint arXiv:2305.12248, 2023
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 11,640,295, 2023
Augmenting Recurrent Graph Neural Networks with a Cache
G Ma, VA Vo, TL Willke, NK Ahmed
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
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 11,702,105, 2023
Cache-memory Gated Graph Neural Networks
G Ma, V Vo, T Willke, N Ahmed
NeurIPS workshop on Memory in Artificial and Real Intelligence (MemARI), 2022
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