Poster "likelihood estimation" Papers
6 papers found
A Black-Box Debiasing Framework for Conditional Sampling
Han Cui, Jingbo Liu
NeurIPS 2025posterarXiv:2510.11071
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
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang et al.
ICML 2024poster
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth
ICML 2024poster
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
Dongha Kim, Jaesung Hwang, Jongjin Lee et al.
ICML 2024poster