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stat.ML2025
Non-asymptotic error bounds for probability flow ODEs under weak log-concavity
Gitte Kremling, Francesco Iafrate, Mahsa Taheri +1
Score-based generative modeling, implemented through probability flow ODEs, has shown impressive results in numerous practical settings. However, most convergence guarantees rely o…
stat.OT2025
Adaptive tail index estimation: minimal assumptions and non-asymptotic guarantees
Johannes Lederer, Anne Sabourin, Mahsa Taheri
A notoriously difficult challenge in extreme value theory is the choice of the number , where is the total sample size, of extreme data points to consider for inference…
cs.LG2025
Regularization can make diffusion models more efficient
Mahsa Taheri, Johannes Lederer
Diffusion models are one of the key architectures of generative AI. Their main drawback, however, is the computational costs. This study indicates that the concept of sparsity, wel…