Tootfinder

Bayesian inference for velocity-jump models for movement
Paul G. Blackwell
https://arxiv.org/abs/2509.21226 https://arxiv.org/pdf/2509.21226

Bayesian inference for velocity-jump models for movement
The velocity-jump model is a specific type of piecewise deterministic Markov process in which an individual's velocity is constant except at times that form the events of some point process. It represents an interpretable continuous-time version of the discrete-time `step and turn' models widely used in analysing wildlife telemetry. In this paper, I derive a reversible jump Markov chain Monte Carlo algorithm to carry out exact Bayesian inference for velocity-jump models by reconstructing the tr…

Time for the jump hour I reckon.
#WristCheck

On Website Technicals (2017-12) - Tech updates: allegedly too little markup, bad traffic, big hero, base download ms, service worker no rel, jump-to. - https://www.earth.org.uk/note-on-site-technicals-7.html

On Website Technicals (2017-12)
Tech updates: allegedly too little markup, bad traffic, big hero, base download ms, service worker no rel, jump-to.

Iterated jump noncomputability and compactness
Gavin Dooley
https://arxiv.org/abs/2506.20620 https://arxiv.org/pdf/2506.20620

Iterated jump noncomputability and compactness
We use reverse mathematics to analyze "iterated jump" versions of the following four principles: the atomic model theorem with subenumerable types (AST), the diagonally noncomputable principle (DNR), weak weak Kőnig's lemma (WWKL), and weak Kőnig's lemma (WKL). The logical relationships between these principles are summarized in Figure 1 and include, among other things, an infinite chain and an infinite antichain, the latter of which represents a strong form of non-linearity in terms of prova…

Parameter Estimation for Jump-Diffusion Stochastic Master Equations
Weichao Liang, Shuixin Xiao, Daoyi Dong, Ian R. Petersen
https://arxiv.org/abs/2509.19862 https://

Parameter Estimation for Jump-Diffusion Stochastic Master Equations
This paper investigates parameter estimation for open quantum systems under continuous observation, whose conditional dynamics are governed by jump-diffusion stochastic master equations (SMEs) associated with quantum nondemolition (QND) measurements. Estimation of model parameters such as coupling strengths or measurement efficiencies is essential, yet in practice these parameters are often uncertain. We first establish the existence and well-posedness of a reduced quantum filter: for an N-leve…

Will Chargers WR Ladd McConkey make a Year 2 jump? Jim Harbaugh says he's been 'uncoverable'

https://www.cbssports.com/nfl/news/will-ch

Walk-on-Interfaces: A Monte Carlo Estimator for an Elliptic Interface Problem with Nonhomogeneous Flux Jump Conditions and a Neumann Boundary Condition
Xinwen Ding, Adam R Stinchcombe
https://arxiv.org/abs/2508.16767

Walk-on-Interfaces: A Monte Carlo Estimator for an Elliptic Interface Problem with Nonhomogeneous Flux Jump Conditions and a Neumann Boundary Condition
Elliptic interface problems arise in numerous scientific and engineering applications, modeling heterogeneous materials in which physical properties change discontinuously across interfaces. In this paper, we present \textit{Walk-on-Interfaces} (WoI), a grid-free Monte Carlo estimator for a class of Neumann elliptic interface problems with nonhomogeneous flux jump conditions. Our Monte Carlo estimators maintain consistent accuracy throughout the domain and, thus, do not suffer from the well-kno…

is the $39.99 Jumbo Snoop Dogg (Drop It Like It's Hot) funko pop homophobic

“This isn’t really the box I was hoping for, human. It’s barely big enough to jump into. But… it is a box, and I _am_ really tired…”
#CatsOfMastodon #Caturday

Captain Cinema: Towards Short Movie Generation
Junfei Xiao, Ceyuan Yang, Lvmin Zhang, Shengqu Cai, Yang Zhao, Yuwei Guo, Gordon Wetzstein, Maneesh Agrawala, Alan Yuille, Lu Jiang
https://arxiv.org/abs/2507.18634

Captain Cinema: Towards Short Movie Generation
We present Captain Cinema, a generation framework for short movie generation. Given a detailed textual description of a movie storyline, our approach firstly generates a sequence of keyframes that outline the entire narrative, which ensures long-range coherence in both the storyline and visual appearance (e.g., scenes and characters). We refer to this step as top-down keyframe planning. These keyframes then serve as conditioning signals for a video synthesis model, which supports long context l…