선도 연구 주제

전체 논문

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

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전체 논문

논문 317개
# Foundation Model for Robotics

Spatio-Temporal Motion Retargeting for Quadruped Robots

Taerim Yoon, Dongho Kang, Seungmin Kim, Jin Cheng, Min Sung Ahn, Stelian Coros, Sungjoon Choi · T-RO · 2025
# Foundation Model for Robotics

Toward Interactive Sound Source Localization: Better Align Sight and Sound!

Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung · TPAMI · 2025
# Breakthrough in Neural Scaling Law

Towards Symbolic XAI — Explanation Through Human Understandable Logical Relationships Between Features

Thomas Schnake, Farnoush Rezaei Jafari, Jonas Lederer, Ping Xiong, Shinichi Nakajima, Stefan Gugler, Grégoire Montavon, Klaus-Robert Müller · Information Fusion · 2025
# Breakthrough in Neural Scaling Law

Local-Global Temporal Fusion Network With an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification

Yun Kwan Kim, Minji Lee, Hee Seok Song, Seong-Whan Lee · IEEE Transactions on Systems, Man, and Cybernetics: Systems · 2025
# Breakthrough in Neural Scaling Law

Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model

Seung-Hyup Na, Seong-Whan Lee · IEEE Transactions on Neural Networks and Learning Systems · 2025
# Breakthrough in Neural Scaling Law

Diversify and Conquer: Open-Set Disagreement for Robust Semi-Supervised Learning With Outliers

Heejo Kong, Sung-Jin Kim, Gunho Jung, Seong-Whan Lee · IEEE Transactions on Neural Networks and Learning Systems · 2025
# Breakthrough in Neural Scaling Law

VQ-FedDiff: Federated Learning Algorithm of Diffusion Models with Client-Specific Vector-Quantized Conditioning

Tehrim Yoon, Minyoung Hwang, Eunho Yang · TPAMI · 2025