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Vy A. Vo
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- affiliation: Intel Labs, Intel Corporation, Hillsboro, OR, USA
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Journal Articles
- 2024
- [j1]Guixiang Ma
, Vy A. Vo
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5(5): 2011-2025 (2024)
Conference and Workshop Papers
- 2024
- [c8]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. Euro-Par (1) 2024: 121-134 - 2023
- [c7]Guixiang Ma
Augmenting Recurrent Graph Neural Networks with a Cache. KDD 2023: 1608-1619 - [c6]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 - 2021
- [c5]Shivangi Mahto, Vy Ai Vo, Javier S. Turek, Alexander Huth:
Multi-timescale Representation Learning in LSTM Language Models. ICLR 2021 - [c4]Richard Antonello, Javier S. Turek, Vy Ai Vo, Alexander Huth:
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. NeurIPS 2021: 8332-8344 - 2020
- [c3]Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. ICML 2020: 9648-9658 - [c2]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 - 2012
- [c1]Vy A. Vo, Rosa Li, Nate Kornell, Jessica F. Cantlon:
Metacognition in children is specific to domain knowledge. CogSci 2012
Informal and Other Publications
- 2024
- [i13]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 abs/2401.16445 (2024) - [i12]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 abs/2402.02018 (2024) - [i11]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:
MPIrigen: MPI Code Generation through Domain-Specific Language Models. CoRR abs/2402.09126 (2024) - [i10]Tal Kadosh, Niranjan Hasabnis, Prema Soundararajan, Vy A. Vo, Mihai Capota, Nesreen K. Ahmed, Yuval Pinter, Gal Oren:
OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation. CoRR abs/2409.14771 (2024) - [i9]Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva:
Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. CoRR abs/2410.08133 (2024) - 2023
- [i8]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 abs/2305.12248 (2023) - [i7]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:
Scope is all you need: Transforming LLMs for HPC Code. CoRR abs/2308.09440 (2023) - [i6]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:
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR abs/2312.13322 (2023) - 2022
- [i5]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR abs/2209.10818 (2022) - [i4]Omri Raccah
Memory in humans and deep language models: Linking hypotheses for model augmentation. CoRR abs/2210.01869 (2022) - 2021
- [i3]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 abs/2105.05944 (2021) - [i2]Richard Antonello, Javier Turek, Vy A. Vo, Alexander Huth:
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. CoRR abs/2106.05426 (2021) - 2020
- [i1]Shivangi Mahto, Vy A. Vo, Javier S. Turek, Alexander G. Huth:
Multi-timescale representation learning in LSTM Language Models. CoRR abs/2009.12727 (2020)
Coauthor Index
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