Taeyoung Yun
8 papers · 2024–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
👑
Triple Crown
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Deep Learning
(5)
Models
(5)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Optimization
(2)
Applications
(1)
Learning Paradigms
(1)
Keywords
generative flow network
(3)
diffusion model
(3)
reinforcement learning
(2)
reward function
(2)
data augmentation
(1)
prompt engineering
(1)
black-box optimization
(1)
posterior inference
(1)
uncertainty quantification
(1)
text-to-image generation
(1)
amortized inference
(1)
generalization
(1)
noise injection
(1)
black-box function
(1)
high dimensional
(1)
conditional generation
(1)
policy exploration
(1)
trajectory augmentation
(1)
classifier-free guidance
(1)
probabilistic inference
(1)
Papers
Adaptive teachers for amortized samplers
ICLR 2025
Improved Off-policy Reinforcement Learning in Biological Sequence Design
ICML 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
CVPR 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
ICML 2025
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
NeurIPS 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
NeurIPS 2024
Learning to Scale Logits for Temperature-Conditional GFlowNets
ICML 2024
Local Search GFlowNets
ICLR 2024