Taesun Yeom

According to our database, Taesun Yeom authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalization.

Taesun Yeom, Taehyeok Ha, Jaeho Lee

CoRR, February, 2026

2025

Post-training quantization of vision encoders needs prefixing registers.

Seunghyeon Kim, Jinho Kim, Taesun Yeom, Wonpyo Park, Kyuyeun Kim, Jaeho Lee

CoRR, October, 2025

On the Internal Representations of Graph Metanetworks.

Taesun Yeom, Jaeho Lee

CoRR, March, 2025

Fast Training of Sinusoidal Neural Fields via Scaling Initialization.

Taesun Yeom, Sangyoon Lee, Jaeho Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion.

Taesun Yeom, Chanhoe Gu, Minhyeok Lee

IEEE Access, 2024

2023

SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains.

Kanghyeok Ko, Taesun Yeom, Minhyeok Lee

Neural Networks, May, 2023

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion.

Taesun Yeom, Minhyeok Lee

CoRR, 2023