Research map / Probabilistic and scientific modeling / Variational and generative sampling
Universal Approximation Using Well-Conditioned Normalizing Flows
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Closest papers by meaning
- On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows (ICML 2024 · similarity 0.87)
- On Fitting Flow Models with Large Sinkhorn Couplings (NeurIPS 2026 · similarity 0.85)
- Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows (NeurIPS 2024 · similarity 0.84)
- Normalizing Flows are Capable Generative Models (ICML 2025 · similarity 0.84)
- Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models (NeurIPS 2024 · similarity 0.84)
- Fast and unified path gradient estimators for normalizing flows (ICLR 2024 · similarity 0.84)
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