Yaxuan Zhu
7 papers · 2021–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Models
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Analysis
(2)
Bayesian & Probabilistic
(2)
Architectures
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Keywords
markov chain monte carlo
(5)
energy-based model
(4)
variational inference
(3)
generative model
(3)
langevin dynamics
(2)
diffusion model
(2)
normalizing flow
(2)
latent space
(2)
image super-resolution
(1)
maximum likelihood
(1)
matrix representations
(1)
neural representation
(1)
image inpainting
(1)
compressed sensing
(1)
pose regression
(1)
maximum a posteriori estimation
(1)
linear inverse problem
(1)
3d reconstruction
(1)
out-of-distribution detection
(1)
tweedie's formula
(1)
Papers
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
NeurIPS 2024
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
ICLR 2024
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference
AAAI 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
NeurIPS 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation
AISTATS 2023
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
ICLR 2022
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
CVPR 2021