stochastic diffusion - Robuta Search

https://arxiv.org/abs/astro-ph/0102439 [astro-ph/0102439] Cosmic Mass Functions from Gaussian Stochastic Diffusion Processes Abstract page for arXiv paper astro-ph/0102439: Cosmic Mass Functions from Gaussian Stochastic Diffusion Processes cosmic mass stochastic diffusion astro ph https://openreview.net/forum?id=IsXMQPT0kM StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces |... We propose a zero-shot method for generating images in arbitrary spaces (e.g., a sphere for $360^\circ$ panoramas and a mesh surface for texture) using a... stochastic diffusion image generation synchronization arbitrary spaces https://arxiv.org/abs/2604.06645 [2604.06645] Global in time solutions to stochastic reaction-diffusion systems with superlinear... Abstract page for arXiv paper 2604.06645: Global in time solutions to stochastic reaction-diffusion systems with superlinear reactions satisfying a triangular... https://arxiv.org/abs/2510.07138 [2510.07138] Stability of non-conservative cross diffusion model and approximation by stochastic... Abstract page for arXiv paper 2510.07138: Stability of non-conservative cross diffusion model and approximation by stochastic particle systems https://openreview.net/forum?id=gq4xkwQZ1l Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision |... Denoising diffusion models are a powerful type of generative models used to capture complex distributions of real-world signals. However, their applicability... inverse problems diffusion forward models solving https://arxiv.org/abs/0812.1837 [0812.1837] Macroscopic reduction for stochastic reaction-diffusion equations Abstract page for arXiv paper 0812.1837: Macroscopic reduction for stochastic reaction-diffusion equations reaction diffusion 0812 1837 macroscopic reduction https://openreview.net/forum?id=f6a9XVFYIo SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models | OpenReview Diffusion Probabilistic Models (DPMs) have achieved considerable success in generation tasks. As sampling from DPMs is equivalent to solving diffusion SDE or... diffusion models sa solver stochastic adams https://openreview.net/forum?id=r5F7Z8s0Qk&referrer=%5Bthe%20profile%20of%20Pierre%20Marion%5D(%2Fprofile%3Fid%3D~Pierre_Marion1) Implicit Diffusion: Efficient optimization through stochastic sampling | OpenReview Sampling and automatic differentiation are both ubiquitous in modern machine learning. At its intersection, differentiating through a sampling operation, with... implicit diffusion efficient optimization stochastic https://openreview.net/forum?id=XJto8p5maC CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control | OpenReview Continuous-time generative models have achieved remarkable success in image restoration and synthesis. However, controlling the composition of multiple... stochastic optimal control multi agent cmad cooperative diffusion https://www.preprints.org/manuscript/202409.1262 Stochastic Parameterization of Moist Physics Using Probabilistic Diffusion Model[v1] | Preprints.org Deep-learning-based convection schemes receive wide attention due to its impressive im-provement on precipitation distribution and tropical convections of... https://www.hu-berlin.de/forschung-lehre/forschungsinformationssystem/projekt-details/case-stipendium-sal-oppenheim-calibration-of-jump-diffusion-stochastic-volatility-option-pricing-models CASE: Stipendium Sal. Oppenheim - Calibration of jump-diffusion stochastic volatility option... sal oppenheim jump diffusion stochastic volatility case stipendium https://arxiv.org/abs/1908.09177v1 [1908.09177v1] Dynamics of Stochastic Reaction-Diffusion Equations Abstract page for arXiv paper 1908.09177v1: Dynamics of Stochastic Reaction-Diffusion Equations reaction diffusion 1908 dynamics stochastic equations https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2024/Evolution-of-time-fractional-stochastic-hyperbolic-diffusion-equations-on-the-unit-sphere Evolution of time-fractional stochastic hyperbolic diffusion equations on the unit sphere https://openreview.net/forum?id=LMFBzRD8HY Implicit Diffusion: Efficient Optimization through Stochastic Sampling | OpenReview We present a new algorithm to optimize distributions defined implicitly by parameterized stochastic diffusions. Doing so allows us to modify the outcome... implicit diffusion efficient optimization stochastic https://www.easychair.org/publications/preprint/8LKp Infinite Servers Queues and Diffusion Stochastic Processes in Equilibrium and Maintenance Costs of... stochastic processes https://huggingface.co/papers/2212.11851 Paper page - StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and... Join the discussion on this paper page https://www.osti.gov/pages/biblio/1803580-stochastic-self-tuning-hybrid-algorithm-reaction-diffusion-systems Stochastic self-tuning hybrid algorithm for reaction-diffusion systems (Journal Article) | OSTI.GOV The U.S. Department of Energy's Office of Scientific and Technical Information reaction diffusion systems https://openreview.net/forum?id=xQBRrtQM8u Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic... Dynamical generative models that produce samples through an iterative process, such as Flow Matching and denoising diffusion models, have seen widespread use,... fine tuning https://openreview.net/forum?id=LMFBzRD8HY&referrer=%5Bthe%20profile%20of%20Pierre%20Marion%5D(%2Fprofile%3Fid%3D~Pierre_Marion1) Implicit Diffusion: Efficient Optimization through Stochastic Sampling | OpenReview We present a new algorithm to optimize distributions defined implicitly by parameterized stochastic diffusions. Doing so allows us to modify the outcome... implicit diffusion efficient optimization stochastic