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Home Generative models

UNIST Proposes Design Principles for More Reliable and Trustworthy AI Artists

Their findings have been accepted for presentation at the 2025 International Conference on Computer Vision (ICCV).

UNIST Proposes Design Principles for More Reliable and Trustworthy AI Artists

Abstract Flat minima, known to enhance generalization and robustness in supervised learning, remain largely unexplored in generative models. In this work, we systematically investigate the role of loss surface flatness in generative models,... Read More

Oct 30, 2025 By JooHyeon Heo Research
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Breakthroughs in AI Technology: From Lightweight AI to Design Automation

Professor Jaejun Yoo and his research team from the Graduate School of Artificial Intelligence at UNIST recently presented their pioneering work on the future of AI at the ECCV) 2024.

Breakthroughs in AI Technology: From Lightweight AI to Design Automation

Professor Jaejun Yoo and his research team from the Graduate School of Artificial Intelligence at UNIST recently presented their pioneering work on the future of artificial intelligence (AI) technology at the European Conference on Computer... Read More

Oct 14, 2024 By JooHyeon Heo Research
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