Kwanghyeon Lee — accepted AI-conference papers

2025

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning

Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-chul Moon

ICLR 2025spotlight

Diffusion-based representation learning has achieved substantial attention due to its promising capabilities in latent representation and sample generation. Recent studies have employed an auxiliary encoder to identify a corresponding representation from data and to adjust the dimensionality of a la…

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2025

Trajectory-Class-Aware Multi-Agent Reinforcement Learning

Hyungho Na, Kwanghyeon Lee, Sumin Lee, Il-chul Moon

ICLR 2025poster

In the context of multi-agent reinforcement learning, *generalization* is a challenge to solve various tasks that may require different joint policies or coordination without relying on policies specialized for each task. We refer to this type of problem as a *multi-task*, and we train agents to be…

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