NeurIPS Poster "likelihood estimation" Papers
4 papers found
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