Vy A. Vo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Graph Based Algorithm

Auto Associative

Top Venues

IEEE Trans. Artif. Intell.

Publications

Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. CoRR (2024)
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 Mattson, Gal Oren
MPIrigen: MPI Code Generation through Domain-Specific Language Models. CoRR (2024)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5 (5) (2024)
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
The Landscape and Challenges of HPC Research and LLMs. CoRR (2024)
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 Mattson, Gal Oren
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR (2023)
Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander Huth
Brain encoding models based on multimodal transformers can transfer across language and vision. NeurIPS (2023)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Augmenting Recurrent Graph Neural Networks with a Cache. KDD (2023)
Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren
Scope is all you need: Transforming LLMs for HPC Code. CoRR (2023)
Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander G. Huth
Brain encoding models based on multimodal transformers can transfer across language and vision. CoRR (2023)
Omri Raccah, Phoebe Chen, Theodore L. Willke, David Poeppel, Vy A. Vo
Memory in humans and deep language models: Linking hypotheses for model augmentation. CoRR (2022)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR (2022)
Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Theodore L. Willke
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay. CoRR (2021)
Richard Antonello, Javier Turek, Vy A. Vo, Alexander Huth
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. CoRR (2021)
Shivangi Mahto, Vy A. Vo, Javier S. Turek, Alexander G. Huth
Multi-timescale representation learning in LSTM Language Models. CoRR (2020)
Shailee Jain, Vy A. Vo, Shivangi Mahto, Amanda LeBel, Javier S. Turek, Alexander Huth
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. NeurIPS (2020)
Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. ICML (2020)