| 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 | 141 | 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 | 83 | 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 | 69 | 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 | 66 | 2017 |
| BrainIAK: The brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture Neuro, 2020 | 49 | 2020 |
| 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 | 46 | 2021 |
| 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 | 42 | 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 | 39 | 2019 |
| Multi-timescale representation learning in LSTM Language Models S Mahto, VA Vo, JS Turek, AG Huth International Conference on Learning Representations (ICLR) 9, 2021 | 34 | 2021 |
| Computational language modeling and the promise of in silico experimentation S Jain, VA Vo, L Wehbe, AG Huth Neurobiology of Language, 1-65, 2023 | 33 | 2023 |
| 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 | 27 | 2022 |
| Brain encoding models based on multimodal transformers can transfer across language and vision J Tang, M Du, V Vo, V Lal, A Huth Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| 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 | 17* | 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 | 17* | 2020 |
| 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 | 11 | 2019 |
| The Landscape and Challenges of HPC Research and LLMs L Chen, NK Ahmed, A Dutta, A Bhattacharjee, S Yu, QI Mahmud, ... CoRR, 2024 | 9* | 2024 |
| 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 | 9 | 2023 |
| Scope is all you need: Transforming LLMs for HPC Code T Kadosh, N Hasabnis, VA Vo, N Schneider, N Krien, A Wasay, N Ahmed, ... arXiv preprint arXiv:2308.09440, 2023 | 7 | 2023 |
| Ompgpt: A generative pre-trained transformer model for openmp L Chen, A Bhattacharjee, N Ahmed, N Hasabnis, G Oren, V Vo, ... European Conference on Parallel Processing, 121-134, 2024 | 6 | 2024 |
| Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks T Kadosh, N Hasabnis, VA Vo, N Schneider, N Krien, M Capota, A Wasay, ... arXiv preprint arXiv:2312.13322, 2023 | 5 | 2023 |
Javier TurekSr Research Scientist in Machine LearningVerified email at intel.com
