This bulletin was made to write a feedback for each presentation and the content of the discussion on the paper presented at the lab seminar.
- No
- ์ ๋ชฉ
- ๊ธ์ด์ด
- ์์ฑ์๊ฐ
- ์กฐํ์
- ์ข์์
- 65
- VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks
- ์กฐ์ฑํ
- 2026-04-29
- ์กฐํ์12
- 0
- 64
- Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
- urikokp
- 2026-04-29
- ์กฐํ์8
- 0
- 63
- SemCity: Semantic Scene Generation with Triplane Diffusion
- Kyungjin Shin
- 2026-04-15
- ์กฐํ์23
- 0
- 62
- Enhanced Diffusion Sampling viaย Extrapolation with Multiple ODE Solutions
- ๋ฐ์ ์ง
- 2026-04-11
- ์กฐํ์27
- 0
- 61
- Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
- Kyungjin Shin
- 2026-03-20
- ์กฐํ์41
- 0
- 60
- Score-based Diffusion Models in Function Space
- GwangwooKim
- 2026-03-11
- ์กฐํ์50
- 0
- 59
- Generative Modeling via Drifting
- Lee Hak Geun
- 2026-02-27
- ์กฐํ์248
- 0
- 58
- Recurrent Neural Operators: Stable Long-Term PDE Prediction
- ๋ฐ์ ์ง
- 2026-02-06
- ์กฐํ์151
- 0
- 57
- Resolution-Free Hilbert Diffusion Models with Galerkin-type Kernel Neural Operators
- Lee Hak Geun
- 2026-02-06
- ์กฐํ์80
- 0
- 56
- DynGEM: Dynamic Graph Embedding Model
- seonghyeon Jo
- 2026-01-30
- ์กฐํ์80
- 0