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stat.ML2026
Probabilistic Geodesic Flow Matching on Location-Scale Families
Zeyuan Yu, Zhi Chang, Shiwei Lan
Flow matching (FM) has recently emerged as a promising framework for generative modeling due to its conceptual simplicity and strong empirical performance. In FM, samples are trans…
stat.ML2024
Deep Q-Exponential Processes
Zhi Chang, Chukwudi Obite, Shuang Zhou +1
Motivated by deep neural networks, the deep Gaussian process (DGP) generalizes the standard GP by stacking multiple layers of GPs. Despite the enhanced expressiveness, GP, as an $L…