NEURIPS 2025 "likelihood estimation" Papers

4 papers found

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A Black-Box Debiasing Framework for Conditional Sampling

Han Cui, Jingbo Liu

NEURIPS 2025posterarXiv:2510.11071

BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation

Rishal Aggarwal, Jacky Chen, Nicholas Boffi et al.

NEURIPS 2025posterarXiv:2507.00846
3
citations

CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices

XUCHEN FENG, Siyu Liao

NEURIPS 2025posterarXiv:2510.25323

Information Theoretic Learning for Diffusion Models with Warm Start

Yirong Shen, Lu GAN, Cong Ling

NEURIPS 2025posterarXiv:2510.20903
1
citations