Jeffrey Gu

16 papers A* 5A 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI.
CoRR
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
2025 A* conf
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.
CVPR
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
2025 J jnl
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.
CoRR
Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Austin Wolfgang Katzer, Collin Chiu, Anita Rau, Xiaohan Wang, Yuhui Zhang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy
2025 J jnl
CryoHype: Reconstructing a thousand cryo-EM structures with transformer-based hypernetworks.
CoRR
Jeffrey Gu, Minkyu Jeon, Ambri Ma, Serena Yeung-Levy, Ellen D. Zhong
2025 A* conf
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models.
ICLR
Jeffrey Gu, Serena Yeung-Levy
2025 J jnl
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models.
CoRR
Jeffrey Gu, Serena Yeung-Levy
2024 J jnl
Hyperbolic Deep Learning in Computer Vision: A Survey.
Int. J. Comput. Vis.
Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung
2023 A* conf
Generalizable Neural Fields as Partially Observed Neural Processes.
ICCV
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
2023 J jnl
Generalizable Neural Fields as Partially Observed Neural Processes.
CoRR
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
2023 J jnl
Hyperbolic Deep Learning in Computer Vision: A Survey.
CoRR
Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung
2023 A* conf
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action.
CVPR
Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung
2022 J jnl
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action.
CoRR
Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung
2021 A* conf
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations.
NeurIPS
Joy Hsu, Jeffrey Gu, Gong Her Wu, Wah Chiu, Serena Yeung
2021 J jnl
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning.
CoRR
Jeffrey Gu, Serena Yeung
2021 A conf
Staying in shape: learning invariant shape representations using contrastive learning.
UAI
Jeffrey Gu, Serena Yeung
2020 J jnl
Learning Hyperbolic Representations for Unsupervised 3D Segmentation.
CoRR
Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung