2026
Adapting Noise to Data: Generative Flows from Learned 1D Processes
ICML 2026poster
The default Gaussian latent in flow-based generative models poses challenges when learning certain distributions such as heavy-tailed ones. We introduce a general framework for learning data-adaptive latent distributions using one-dimensional quantile functions, optimized via the Wasserstein distanc…