Abstract: Discrete Gaussian samplers are used to sample integers from a discrete Gaussian distribution. Since this functionality is used in operations such as key generation, signing, or key ...

We propose Continuous-exploratory Discrete Langevin Sampler (cDLS), a hybrid gradient-based sampler for discrete distributions. cDLS exploits the gradient information to explore the continuous space ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Abstract: In this paper a new model random sampler algorithm, only based on the interaction structure of the model is presented. It means that the vector values of the parameters of the distribution ...

This repository officially houses the PyTorch implementation of the paper titled "Learnable Sampler Distillation for Discrete Diffusion Moldes", which is presented at NeurIPS 2025 as a spotlight.

「DQM」では「制約条件に相当する数式」として「linearパターン」と「quadraticパターン」がある。 ・linear： 各変数を「足し算する形」で制約条件を表現する式の場合。 ・quadratic： 変数同士を「掛け算する形」で制約条件を表現する式の場合。 DQMの数式 ...