activity
20232026
most citedIdentifiable Feature Learning for Spatial Data with Nonlinear ICA

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2026 · stat.MLShow all

2 papers · 2 filters

stat.ML2026

Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors

Naïl B. Khelifa, Richard E. Turner, Ramji Venkataramanan

Score-based diffusion models are typically trained by minimizing the score matching error, and standard theoretical analyses rely on this quantity to bound the sampling discr…

stat.ML2026

Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization

Naïl B. Khelifa, Richard E. Turner, Ramji Venkataramanan

Recursive training of generative models on their own outputs can lead to model collapse, a compounding drift away from the true data distribution. Existing theoretical works bound…