Welcome to
Machine Perception &
Reasoning Lab!

We study computational cognition and learning in efficiency.

We explore the intersection of computational perception and efficient learning algorithms to advance intelligent systems. Our research optimizes how artificial agents acquire, represent, and adapt knowledge with minimal computational overhead. We try to trailblaze scalable, sustainable intelligence that works in real-world environments.

SNUMPR lab members

Recent News

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Two Papers Presented at NeurIPS 2026

Two Papers Presented at NeurIPS 2026

December 6, 2026

Two papers from our lab will be presented at NeurIPS 2026 in Sydney, Australia.

Three Papers Presented at ECCV 2026

Three Papers Presented at ECCV 2026

September 7, 2026

Three papers from our lab were presented at ECCV 2026 in Malmö, Sweden.

Two Spotlight Papers Presented at ICML 2026

Two Spotlight Papers Presented at ICML 2026

July 6, 2026

Two papers from our lab were presented as Spotlight posters at ICML 2026 in Seoul, South Korea.

Best Paper Award at AAAI 2026 Workshop of PerFM

Best Paper Award at AAAI 2026 Workshop of PerFM

Janurary 17, 2026

Minhyuk Seo & Taeheon Kim received the Best Paper Award at AAAI 2026 Workshop of PerFM!