Tag: generative modeling
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Flow Sampling: Efficient Sampling from Unnormalized Densities
Discover Flow Sampling, a novel framework improving sampling efficiency from unnormalized densities using denoising conditional processes and diffusion mod...
Flow Map Reward Guidance: Efficient Few-Step Alignment
Discover Flow Map Reward Guidance (FMRG), a fast, training-free method for efficient few-step alignment in generative modeling and reward-based guidance.
Consistency Distillation’s Role in Diffusion Model Memorization
Explore how consistency distillation reduces memorization while enhancing diffusion model performance and generalization in generative AI.
C-t3VAE: Heavy-Tailed Priors for Long-Tailed Generative Models
Discover C-t3VAE, a model using heavy-tailed class priors to improve generative modeling on imbalanced long-tailed datasets with enhanced class representat...
Generative Modeling for Precise Molecular Structure Retrieval
Discover how generative modeling and Coulomb explosion imaging enable accurate real-time molecular structure retrieval with advanced neural networks.