Jeffrey Gu
7 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Architectures
(5)
Computer Vision
(4)
Artificial Intelligence
(3)
Machine Learning
(2)
Analysis
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Healthcare & Medicine
(1)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Processing
(1)
Keywords
neural field
(2)
implicit neural representation
(2)
transfer learning
(1)
self-supervised learning
(1)
medical imaging
(1)
3d vision
(1)
motion capture
(1)
biomedical imaging
(1)
multimodal dataset
(1)
variational autoencoder
(1)
foundation model
(1)
vision-language model
(1)
3d human motion
(1)
monocular video
(1)
image-text retrieval
(1)
zero-shot classification
(1)
cryo-electron microscopy
(1)
hyperbolic embedding
(1)
isometric transformation
(1)
gradient-based meta-learning
(1)
Papers
CryoHype: Reconstructing a thousand cryo-EM structures with transformer-based hypernetworks
CVPR 2026
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
CVPR 2025
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models
ICLR 2025
Generalizable Neural Fields as Partially Observed Neural Processes
ICCV 2023
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action
CVPR 2023
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
NeurIPS 2021
Staying in shape: learning invariant shape representations using contrastive learning
UAI 2021