probabilistic sampling

Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions ACL 2026 SparseSplat: Towards Applicable Feed-Forward 3D Gaussian Splatting with Pixel-Unaligned Prediction CVPR 2026 Controllable Generation via Locally Constrained Resampling ICLR 2025 Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation COLING 2025 Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing CVPR 2024 Expressive probabilistic sampling in recurrent neural networks NeurIPS 2023 Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers AAAI 2023 PROTES: Probabilistic Optimization with Tensor Sampling NeurIPS 2023 Sampling weights of deep neural networks NeurIPS 2023 Testing of Horn Samplers AISTATS 2023 BayCon: Model-agnostic Bayesian Counterfactual Generator IJCAI 2022 Multi-View Depth Estimation by Fusing Single-View Depth Probability With Multi-View Geometry CVPR 2022 Efficient Sampling of Dependency Structure EMNLP 2021 Learning to Sample from Censored Markov Random Fields COLT 2021 Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020 Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling Interspeech 2017 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection CVPR 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013