선도 연구 주제

전체 논문

NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.

연구 아카이브로 돌아가기

High-dimensional Generative Models

논문 58개
# High-dimensional Generative Foundation Models

Confidence-Aware Adaptive Semi-Supervised Approach for Reliable EEG-Based Emotion Recognition

Songha Kim, Soyeon Bak, Jun-Mo Kim, Woohyeok Choi, Yebin Choi, Tae-Eui Kam · ICASSP · 2026
# High-dimensional Generative Foundation Models

Open Your Model’s Eyes: Video and Context-Aware Multimodal Backchannel Prediction

Min-Jae Kim, Jun-Yeong Moon, Mujeen Sung, Gyeong-Moon Park · ACL · 2026
# High-dimensional Generative Foundation Models

Deep Language Model-based Early Recognition of Out-of-Hospital Cardiac Arrest from Real-Time Emergency Calls

Hong-Jae Choi, Minyoung Hwang, Sangyeon Cho, Hyunsoo Kim, Junyeong Kim, Woori Bae, Changhee Lee · npj Digital Medicine · 2026
# High-dimensional Generative Foundation Models

CHIMERA: Controllable High-quality Image-Mask Extraction for Reliable Diffusion-Based Anomaly Synthesis

JoungBin Lee, Hyunkoo Lee, Jini Yang, Chaehyun Kim, Jung Yi, Seok Hwangbo, Hyeoncheol Lee, Minho Chun, Eunjo Jeong, Seungryong Kim · AAAI · 2026
# High-dimensional Generative Foundation Models

Vid-CamEdit: Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry

Junyoung Seo, Jisang Han, Jaewoo Jung, Siyoon Jin, Joungbin Lee, Takuya Narihira, Kazumi Fukuda, Takashi Shibuya, Donghoon Ahn, Shoukang Hu, Seungryong Kim, Yuki Mitsufuji · AAAI · 2026
# High-dimensional Generative Foundation Models

Posterior Label Smoothing for Node Classification

Jaeseung Heo, Moonjeong Park, Dongwoo Kim · AAAI · 2026
# High-dimensional Generative Foundation Models

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies

Chunsan Hong, Seonho An, Min-Soo Kim, Jong Chul Ye · ICLR · 2026
# High-dimensional Generative Foundation Models

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing

Jeongsol Kim, Yeobin Hong, Jonghyun Park, Jong Chul Ye · ICLR · 2026
# High-dimensional Generative Foundation Models

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments

Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee, Jongeun Choi · ICLR · 2026
# High-dimensional Generative Foundation Models

TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions

Hwijin Kim, Jaeho Kim, Changhee Lee · ICLR · 2026