Jeffrey Gu

According to our database, Jeffrey Gu authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI.

Alejandro Lozano, Min Woo Sun, James Burgess, Jeffrey J. Nirschl, Christopher Polzak, Yuhui Zhang, Liangyu Chen, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Collin Chiu, Orr Zohar, Xiaohan Wang, Alfred Seunghoon Song, Chia-Chun Chiang, Robert Tibshirani, Serena Yeung-Levy

CoRR, March, 2025

Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models.

Jeffrey Gu, Serena Yeung-Levy

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.

Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Yuhui Zhang, Collin Chiu, Xiaohan Wang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Hyperbolic Deep Learning in Computer Vision: A Survey.

Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung

Int. J. Comput. Vis., September, 2024

2023

Generalizable Neural Fields as Partially Observed Neural Processes.

Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action.

Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Staying in shape: learning invariant shape representations using contrastive learning.

Jeffrey Gu, Serena Yeung

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations.

Joy Hsu, Jeffrey Gu, Gong Her Wu, Wah Chiu, Serena Yeung

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

2020

Learning Hyperbolic Representations for Unsupervised 3D Segmentation.

Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung

CoRR, 2020