Vy A. Vo

According to our database, Vy A. Vo authored at least 19 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed

IEEE Trans. Artif. Intell., May, 2024

Toward Optimal Search and Retrieval for RAG.

Alexandria Leto, Cecilia Aguerrebere, Ishwar Singh Bhati, Ted Willke, Mariano Tepper, Vy Ai Vo

CoRR, 2024

Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks.

Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva

CoRR, 2024

OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation.

Tal Kadosh, Niranjan Hasabnis, Prema Soundararajan, Vy A. Vo, Mihai Capota, Nesreen K. Ahmed, Yuval Pinter, Gal Oren

CoRR, 2024

MPIrigen: MPI Code Generation through Domain-Specific Language Models.

Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy G. Mattson, Gal Oren

CoRR, 2024

The Landscape and Challenges of HPC Research and LLMs.

Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari

CoRR, 2024

OMPGPT: A Generative Pre-trained Transformer Model for OpenMP.

Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

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

Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren

CoRR, 2023

Scope is all you need: Transforming LLMs for HPC Code.

Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren

CoRR, 2023

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

Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Augmenting Recurrent Graph Neural Networks with a Cache.

Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

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

Omri Raccah, Phoebe Chen, Theodore L. Willke, David Poeppel, Vy A. Vo

CoRR, 2022

Memory-Augmented Graph Neural Networks: A Neuroscience Perspective.

Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed

CoRR, 2022

2021

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

Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Theodore L. Willke

CoRR, 2021

Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses.

Richard Antonello, Javier S. Turek, Vy Ai Vo, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-timescale Representation Learning in LSTM Language Models.

Shivangi Mahto, Vy Ai Vo, Javier S. Turek, Alexander Huth

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

Shailee Jain, Vy A. Vo, Shivangi Mahto, Amanda LeBel, Javier S. Turek, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke

Proceedings of the 37th International Conference on Machine Learning, 2020

2012

Metacognition in children is specific to domain knowledge.

Vy A. Vo, Rosa Li, Nate Kornell, Jessica F. Cantlon

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012