16 citations · 61 across the 13 of their papers we have counts for
3 papers · 1 filter
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim, Yeongmin Kim, Se Jung Kwon +2
The proposed method, Discriminator Guidance, aims to improve sample generation of pre-trained diffusion models. The approach introduces a discriminator that gives explicit supervis…
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim, Byeonghu Na, Se Jung Kwon +3
Whereas diverse variations of diffusion models exist, extending the linear diffusion into a nonlinear diffusion process is investigated by very few works. The nonlinearity effect h…
Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters
Dongjun Kim, Tae-Sub Yun, Il-Chul Moon +1
Agent-based models (ABMs) highlight the importance of simulation validation, such as qualitative face validation and quantitative empirical validation. In particular, we focused on…