Scientific Frontiers
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
Governance
Organization & Structure
Leadership
Strategic Advisors Board
Ecosystem
Academic Consortium
Industry Alliances
Public Sector Partners
Global Research Network
Knowledge Hub
Media
Symposia & Open Labs
Seminars
Newsletter
About NAIRL
Mission & Vision
Team
Facilities & Contact
EN
·
KO
Join us
EN
·
KO
Join us
esc
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
선도 연구 주제
전체 논문
NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.
←
연구 아카이브로 돌아가기
All
317
Beyond Scaling Laws
155
Physical AI & Robotics
104
High-dimensional Generative Models
58
High-dimensional Generative Models
논문 58개
# High-dimensional Generative Foundation Models
Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech
Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park ·
ICML
· 2025
# High-dimensional Generative Foundation Models
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park ·
ICML
· 2025
# High-dimensional Generative Foundation Models
Optimized Minimal 3D Gaussian Splatting
Joo Chan Lee, Jong Hwan Ko, Eunbyung Park ·
NeurIPS
· 2025
# High-dimensional Generative Foundation Models
SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation
Jongmin Lee, Meiqi Sun, Pieter Abbeel ·
ICLR
· 2025
# High-dimensional Generative Foundation Models
CoPL: Collaborative Preference Learning for Personalizing LLMs
Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim ·
EMNLP
· 2025
# High-dimensional Generative Foundation Models
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim ·
EMNLP
· 2025
# High-dimensional Generative Foundation Models
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
Emergent Temporal Correspondences from Video Diffusion Transformers
Jisu Nam, Soowon Son, Dahyun Chung, Jiyoung Kim, Siyoon Jin, Junhwa Hur, Seungryong Kim ·
CVPR
· 2025
# High-dimensional Generative Foundation Models
S4M: Boosting Semi-Supervised Instance Segmentation with SAM
Heeji Yoon, Heeseong Shin, Eunbeen Hong, Hyunwook Choi, Hansang Cho, Daun Jeong, Seungryong Kim ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis
Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim ·
ICML
· 2025
← Prev
1
…
3
4
5
6
Next →