Taeyoung Yun
Scholar

Taeyoung Yun

Google Scholar ID: _whtwzQAAAAJ
KAIST
Reinforcement LearningGenerative ModelsBlack-box Optimization
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Citations & Impact
All-time
Citations
112
 
H-index
6
 
i10-index
4
 
Publications
12
 
Co-authors
15
list available
Contact
No contact links provided.
Publications
8 items
Diffusion Alignment as Variational Expectation-Maximization
2025
Cited
0
Active Attacks: Red-teaming LLMs via Adaptive Environments
2025
Cited
0
Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization
2025
Cited
0
Offline Model-Based Optimization: Comprehensive Review
2025
Cited
0
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
2025
Cited
0
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
2025
Cited
0
Improved Off-policy Reinforcement Learning in Biological Sequence Design
arXiv.org · 2024
Cited
5
Adaptive teachers for amortized samplers
arXiv.org · 2024
Cited
2
Resume (English only)
Co-authors
15 total
Jinkyoo Park
Jinkyoo Park
Department of Industrial and Systems Engineering, KAIST
Minsu Kim
Minsu Kim
Postdoctoral Researcher at Mila / KAIST
Emmanuel Bengio
Emmanuel Bengio
McGill University; Recursion/Valence Labs
Yoshua Bengio
Yoshua Bengio
Professor of computer science, University of Montreal, Mila, IVADO, CIFAR
Dinghuai Zhang 张鼎怀
Dinghuai Zhang 张鼎怀
Microsoft Research; Mila
Sujin Yun
Sujin Yun
Université de Montréal
Sungsoo Ahn
Sungsoo Ahn
KAIST
Jaewoo Lee
Jaewoo Lee
KAIST