Delu Zeng
12 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (32)
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Research topics
Machine Learning
(12)
Deep Learning
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Computer Vision
(5)
Mathematics & Optimization
(5)
Optimization
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Optimization & Theory
(5)
Processing
(5)
Bayesian & Probabilistic · Machine Learning
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Artificial Intelligence
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Bayesian & Probabilistic · Artificial Intelligence
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Analysis
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Keywords
variational inference
(4)
convolutional neural network
(3)
inducing point
(2)
optimal transport
(2)
image restoration
(2)
density ratio estimation
(2)
bayesian learning
(1)
self-supervised learning
(1)
stochastic gradient descent
(1)
sparse representation
(1)
bayesian inference
(1)
metric learning
(1)
image fusion
(1)
illumination estimation
(1)
marginal likelihood
(1)
feature extraction
(1)
image denoising
(1)
time series prediction
(1)
gaussian process
(1)
implicit representation
(1)
Papers
Implicit Variational Rejection Sampling
UAI 2026
Bayesian Gaussian Process ODEs via Double Normalizing Flows
AISTATS 2025
Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
ICML 2025
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
UAI 2025
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
ICML 2024
Sparse Variational Student-t Processes
AAAI 2024
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior
AAAI 2023
TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed
CVPR 2022
MEnet: A Metric Expression Network for Salient Object Segmentation
IJCAI 2018
Removing Rain From Single Images via a Deep Detail Network
CVPR 2017
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation
CVPR 2016
Pan-Sharpening With a Hyper-Laplacian Penalty
ICCV 2015