stochastic sampling

Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling CVPR 2026 Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026 Stochastic Ray Tracing for the Reconstruction of 3D Gaussian Splatting CVPR 2026 Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models ICML 2025 Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction AACL 2025 Implicit Diffusion: Efficient optimization through stochastic sampling AISTATS 2025 keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span Detection SemEval 2025 Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual CVPR 2025 Atomic Self-Consistency for Better Long Form Generations EMNLP 2024 Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation ACL 2024 Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling JMLR 2024 Ambiguous Medical Image Segmentation Using Diffusion Models CVPR 2023 Memory-efficient Temporal Moment Localization in Long Videos EACL 2023 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling ICML 2023 Probing the “Creativity” of Large Language Models: Can models produce divergent semantic association? EMNLP 2023 Sampling random graph homomorphisms and applications to network data analysis JMLR 2023 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022 Conditional Poisson Stochastic Beams EMNLP 2021 Robust Navigation with Language Pretraining and Stochastic Sampling EMNLP 2019 Stochastic Tokenization with a Language Model for Neural Text Classification ACL 2019 S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017 Stochastic Bouncy Particle Sampler ICML 2017 Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NeurIPS 2015