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Mao Po-Yuan
Mao Po-Yuan
Master Student at Kyushu University
Verified email at s.kyushu-u.ac.jp
Title
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Cited by
Year
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models
M Po-Yuan, S Kotyan, TY Foong, DV Vargas
arXiv preprint arXiv:2312.11473, 2023
42023
EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions
S Kotyan, PY Mao, DV Vargas
arXiv preprint arXiv:2402.04699, 2024
12024
HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
DH Dat, PY Mao, TH Nguyen, W Buntine, M Bennamoun
arXiv preprint arXiv:2311.14747, 2023
12023
The Challenges of Image Generation Models in Generating Multi-Component Images
TY Foong, S Kotyan, PY Mao, DV Vargas
arXiv preprint arXiv:2311.13620, 2023
12023
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations
TY Foong, H Zhang, MP Yuan, DV Vargas
arXiv preprint arXiv:2404.05168, 2024
2024
Magnum: Tackling High-Dimensional Structures with Self-Organization
M PoYuan, T YikFoong, Z Heng, DV Vargas
Neurocomputing, 126508, 2023
2023
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models
P Mao, S Kotyan, TY Foong, DV Vargas
CoRR, 2023
2023
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