"likelihood estimation" Papers

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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