Vy A. Vo

发表

Multi-timescale representation learning in LSTM Language Models pdf

Alexander G. Huth, Javier S. Turek, Alexander G. Huth, 2020, ICLR.

Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech

Alexander G. Huth, Javier S. Turek, Alexander G. Huth, 2020, bioRxiv.

Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay pdf

Christopher J. Honey, Javier S. Turek, Nicole M. Beckage, 2021, ArXiv.

Multi-timescale representation learning in LSTM Language Models pdf

Alexander G. Huth, Javier S. Turek, Shivangi Mahto, 2021, ICLR.

Value-driven attentional capture enhances distractor representations in early visual cortex

Thomas C. Sprague, Vy A. Vo, J. Serences, 2019, PLoS biology.

Value-driven attentional capture enhances distractor representations in early visual cortex

Thomas C. Sprague, Vy A. Vo, J. Serences, 2019, bioRxiv.

Dissociable signatures of visual salience and behavioral relevance across attentional priority maps in human cortex

Thomas C. Sprague, Vy A. Vo, J. Serences, 2017, bioRxiv.

An Additive Instance-Wise Approach to Multi-class Model Interpretation

Quan Hung Tran, Vy A. Vo, Dinh Q. Phung, 2022, ArXiv.

An Additive Instance-Wise Approach to Multi-class Model Interpretation

Quan Hung Tran, Vy A. Vo, Dinh Q. Phung, 2022, ICLR.

Memory-Augmented Graph Neural Networks: A Neuroscience Perspective

Vy A. Vo, Ted L. Willke, Guixiang Ma, 2022, ArXiv.

Memory in humans and deep language models: Linking hypotheses for model augmentation

Vy A. Vo, Ted L. Willke, D. Poeppel, 2022, ArXiv.

Memory in humans and deep language models: Linking hypotheses for model augmentation

Vy A. Vo, Ted L. Willke, D. Poeppel, 2022, ArXiv.

LSTM LANGUAGE MODELS

Alexander G. Huth, Vy A. Vo, Javier Turek, 2021 .

Dissociable signatures of visual salience and behavioral relevance across attentional priority maps in human cortex

Thomas C. Sprague, Sirawaj Itthipuripat, Thomas C Sprague, 2017, bioRxiv.

Spatial Tuning Shifts Increase the Discriminability and Fidelity of Population Codes in Visual Cortex

Thomas C. Sprague, Thomas C Sprague, John T Serences, 2017, The Journal of Neuroscience.

Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses pdf

Javier Turek, Alexander G. Huth, Vy Vo, 2021, NeurIPS.

Young Children Bet on Their Numerical Skills

Alexandre Pouget, Nate Kornell, Vy A. Vo, 2014, Psychological science.

Computational Language Modeling and the Promise of In Silico Experimentation

Alexander G. Huth, Vy A. Vo, Leila Wehbe, 2023, Neurobiology of language.

BrainIAK: The Brain Imaging Analysis Kit

Theodore L. Willke, Michael J. Anderson, Jeremy R. Manning, 2020, Aperture neuro.

Shared Representational Formats for Information Maintained in Working Memory and Information Retrieved from Long-Term Memory.

Thomas C. Sprague, Joshua J. Foster, Vy A. Vo, 2021, Cerebral cortex.

Learning Directed Graphical Models with Optimal Transport

Edwin V. Bonilla, Vy A. Vo, Dinh Q. Phung, 2023, 2305.15927.

Inverted Encoding Models Assay Population-Level Stimulus Representations, Not Single-Unit Neural Tuning

Masih Rahmati, Thomas C. Sprague, David W. Sutterer, 2018, eNeuro.

Brain encoding models based on multimodal transformers can transfer across language and vision

Alexander G. Huth, Vy A. Vo, Vasudev Lal, 2023, ArXiv.

Shared long-term and short-term memory representational formats in occipital and parietal cortex

Thomas C. Sprague, David W. Sutterer, Joshua J. Foster, 2021, bioRxiv.

Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network

Theodore L. Willke, Alexander G. Huth, Vy A. Vo, 2019, ICML.

Scope is all you need: Transforming LLMs for HPC Code

Vy A. Vo, Ted L. Willke, T. Mattson, 2023, 2308.09440.

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations

Edwin V. Bonilla, Vy A. Vo, Dinh Q. Phung, 2022, KDD.

Long Short-Term Memory with Slower Information Decay

Nicole M. Beckage, Vy A. Vo, Ted L. Willke, 2022, LatinX in AI at International Conference on Machine Learning 2021.

Memory-Augmented Graph Neural Networks: A Brain-Inspired Review

Vy A. Vo, Ted L. Willke, Guixiang Ma, 2022, IEEE Transactions on Artificial Intelligence.

Multivariate Analysis of BOLD Activation Patterns Recovers Graded Depth Representations in Human Visual and Parietal Cortex

Margaret Henderson, John Serences, Thomas C. Sprague, 2019, eNeuro.

Learning Directed Graphical Models with Optimal Transport

Edwin V. Bonilla, Vy A. Vo, Dinh Q. Phung, 2023, ArXiv.

Young Children Bet on Their Numerical Skills

Vy A. Vo, A. Pouget, J. Cantlon, 2014, Psychological science.

The Landscape and Challenges of HPC Research and LLMs

Quazi Ishtiaque Mahmud, Vy A. Vo, Sixing Yu, 2024, ArXiv.

OMPGPT: A Generative Pre-trained Transformer Model for OpenMP

Vy A. Vo, N. Hasabnis, Gal Oren, 2024, ArXiv.

Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks

Vy A. Vo, N. Hasabnis, Yuval Pinter, 2023, ArXiv.

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Edwin V. Bonilla, Vy A. Vo, Dinh Q. Phung, 2023, 2305.15927.

Augmenting Recurrent Graph Neural Networks with a Cache

Nesreen K. Ahmed, Vy A. Vo, Guixiang Ma, 2023, KDD.

MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks

Vy A. Vo, N. Hasabnis, Yuval Pinter, 2023, 2312.13322.

Scope is all you need: Transforming LLMs for HPC Code

Vy A. Vo, T. Mattson, A. Wasay, 2023, ArXiv.