Poster "likelihood estimation" Papers
9 papers found
Conference
A Black-Box Debiasing Framework for Conditional Sampling
Han Cui, Jingbo Liu
NEURIPS 2025arXiv:2510.11071
BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
Rishal Aggarwal, Jacky Chen, Nicholas Boffi et al.
NEURIPS 2025arXiv:2507.00846
3
citations
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
XUCHEN FENG, Siyu Liao
NEURIPS 2025arXiv:2510.25323
Diffusion Models as Cartoonists: The Curious Case of High Density Regions
Rafał Karczewski, Markus Heinonen, Vikas Garg
ICLR 2025arXiv:2411.01293
11
citations
Information Theoretic Learning for Diffusion Models with Warm Start
Yirong Shen, Lu GAN, Cong Ling
NEURIPS 2025arXiv:2510.20903
2
citations
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang et al.
ICML 2024arXiv:2403.01666
5
citations
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth
ICML 2024arXiv:2310.08337
16
citations
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
Dongha Kim, Jaesung Hwang, Jongjin Lee et al.
ICML 2024arXiv:2301.04257
4
citations
Self-Guided Generation of Minority Samples Using Diffusion Models
Soobin Um, Jong Chul Ye
ECCV 2024arXiv:2407.11555
13
citations