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Showing results 1 to 5 of 5

1
Denoising MCMC for Accelerating Diffusion-Based Generative Models

Kim, Beomsu; Ye, Jong Chul, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07

2
Energy-Based Contrastive Learning of Visual Representations

Kim, Beomsu; Ye, Jong Chul, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11

3
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models

Park, Geon Yeong; Kim, jeongsol; Kim, Beomsu; Lee, Sang Wan; Ye, Jong Chul, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural information processing systems foundation, 2023-12

4
Minimizing Trajectory Curvature of ODE-based Generative Models

Lee, Sangyun; Kim, Beomsu; Ye, Jong Chul, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07

5
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge

Ye, Jong Chul; Kim, Beomsu; KWON, GIHYUN; Kim, kwanyoung, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, 2024-05

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