Taeyoung Yun
8 papers · 2024–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Cross-Pollinator (10)
π
Renaissance Researcher
(5)
π
Triple Crown
Conferences
ICML (3)
ICLR (2)
NIPS (2)
CVPR (1)
Top co-authors
Research topics
Keywords
diffusion model
(2)
offline reinforcement learning
(1)
probabilistic inference
(1)
data augmentation
(1)
prompt engineering
(1)
conditional generation
(1)
text-to-image generation
(1)
reward function
(1)
black-box function
(1)
trajectory augmentation
(1)
classifier-free guidance
(1)
reward conditioning
(1)
data quality
(1)
trajectory generation
(1)
generative flow network
(1)
offline optimization
(1)
model-based optimization
(1)
conditional generative model
(1)
design task
(1)
design optimization
(1)
Papers
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
ICML 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
CVPR 2025
Adaptive teachers for amortized samplers
ICLR 2025
Improved Off-policy Reinforcement Learning in Biological Sequence Design
ICML 2025
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
NIPS 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
NIPS 2024
Learning to Scale Logits for Temperature-Conditional GFlowNets
ICML 2024
Local Search GFlowNets
ICLR 2024