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Fungal automata are a variation of the two-dimensional sandpile automaton of Bak, Tang, and Wiesenfeld (Phys. Rev. Lett. 1987). In each step toppling cells emit grains only to some of their neighbors chosen according to a specific update…

Computational Complexity · Computer Science 2022-08-19 Augusto Modanese , Thomas Worsch

Hyphae within the mycelia of the ascomycetous fungi are compartmentalised by septa. Each septum has a pore that allows for inter-compartmental and inter-hyphal streaming of cytosol and even organelles. The compartments, however, have…

Emerging Technologies · Computer Science 2020-06-24 Eric Goles , Michail-Antisthenis Tsompanas , Andrew Adamatzky , Martin Tegelaar , Han A. B. Wosten , Genaro J. Martinez

Camera pose estimation is a long-standing computer vision problem that to date often relies on classical methods, such as handcrafted keypoint matching, RANSAC and bundle adjustment. In this paper, we propose to formulate the Structure from…

Computer Vision and Pattern Recognition · Computer Science 2024-01-26 Jianyuan Wang , Christian Rupprecht , David Novotny

Fungal automata are a nature-inspired computational model, where a rule is alternatively applied verticaly and horizontaly. In this work we study the computational complexity of predicting the dynamics of all fungal freezing totalistic…

Computational Complexity · Computer Science 2026-04-17 Enrico Formenti , Eric Goles , Kévin Perrot , Martín Ríos-Wilson , Domingo Ruiz-Tala

Boolean automata networks (aka Boolean networks) are space-time discrete dynamical systems, studied as a model of computation and as a representative model of natural phenomena. A collection of simple entities (the automata) update their…

Discrete Mathematics · Computer Science 2024-02-12 Kévin Perrot , Sylvain Sené , Léah Tapin

We settle the theoretical ground for the study of automata networks under block-parallel update schedules, which are somehow dual to the block-sequential ones, but allow for repetitions of automaton updates. This gain in expressivity brings…

Discrete Mathematics · Computer Science 2025-03-14 Kévin Perrot , Sylvain Sené , Léah Tapin

We study diffusion of particles in large-scale simulations of one-dimensional stochastic sandpiles, in both the restricted and unrestricted versions. The results indicate that the diffusion constant scales in the same manner as the activity…

Statistical Mechanics · Physics 2015-05-13 S. D. da Cunha , Ronaldo R. Vidigal , L. R. da Silva , Ronald Dickman

We propose a probabilistic shape completion method extended to the continuous geometry of large-scale 3D scenes. Real-world scans of 3D scenes suffer from a considerable amount of missing data cluttered with unsegmented objects. The problem…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Dongsu Zhang , Changwoon Choi , Inbum Park , Young Min Kim

The Abelian Sandpile Model is a discrete diffusion process defined on graphs (Dhar \cite{DD90}, Dhar et al. \cite{DD95}) which serves as the standard model of \textit{self-organized criticality}. The transience class of a sandpile is…

Discrete Mathematics · Computer Science 2012-10-17 Ayush Choure , Sundar Vishwanathan

Three cellular automaton (CA) models of increasing complexity are introduced to model driven diffusive systems related to the generalized Frenkel-Kontorova (FK) models recently proposed by Braun [Phys.Rev.E58, 1311 (1998)]. The models are…

Condensed Matter · Physics 2009-10-31 Bing-Hong Wang , Y. R. Kwong , P. M. Hui , Bambi Hu

Image completion techniques have made significant progress in filling missing regions (i.e., holes) in images. However, large-hole completion remains challenging due to limited structural information. In this paper, we address this problem…

Computer Vision and Pattern Recognition · Computer Science 2023-09-07 Daichi Horita , Jiaolong Yang , Dong Chen , Yuki Koyama , Kiyoharu Aizawa , Nicu Sebe

The theory of cellular automata in operational probabilistic theories is developed. We start introducing the composition of infinitely many elementary systems, and then use this notion to define update rules for such infinite composite…

Quantum Physics · Physics 2021-07-09 Paolo Perinotti

Diffusion (score-based) generative models have been widely used for modeling various types of complex data, including images, audios, and point clouds. Recently, the deep connection between forward-backward stochastic differential equations…

Machine Learning · Computer Science 2022-06-22 Weitao Du , Tao Yang , He Zhang , Yuanqi Du

Cellular automata are fully-discrete, spatially-extended dynamical systems that evolve by simultaneously applying a local update function. Despite their simplicity, the induced global dynamic produces a stunning array of richly-structured,…

Statistical Mechanics · Physics 2019-01-01 Adam Rupe , James P. Crutchfield

Particle Flow Filters estimate the ``a posteriori" probability density function (PDF) by moving an ensemble of particles according to the likelihood. Particles are propagated under the system dynamics until a measurement becomes available…

Computational Engineering, Finance, and Science · Computer Science 2025-05-06 Simone Servadio

Discrete-time diffusion-based generative models and score matching methods have shown promising results in modeling high-dimensional image data. Recently, Song et al. (2021) show that diffusion processes that transform data into noise can…

Machine Learning · Computer Science 2021-10-01 Chin-Wei Huang , Jae Hyun Lim , Aaron Courville

Granular materials are very common in the everyday world. Media such as sand, soil, gravel, food stuffs, pharmaceuticals, etc. all have similar irregular flow since they are composed of numerous small solid particles. In video games,…

Cellular Automata and Lattice Gases · Physics 2021-03-10 Jonathan Devlin , Micah D. Schuster

When sand flows out of a funnel onto a surface, a three dimensional pile that is stabilized by friction grows taller as it spreads. Here we investigate an idealized two dimensional analogue: spreading of a pile of monodisperse oil droplets…

Soft Condensed Matter · Physics 2022-12-20 Johnathan Hoggarth , Jean-Christophe Ono-dit-Biot , Kari Dalnoki-Veress

The one-parameter two-dimensional cellular automaton with the Margolus neighbourhood is analyzed based on the considering the projection of the stochastic movements of a single particle. Introducing the auxiliary random variable associated…

Probability · Mathematics 2023-04-18 Anton Kulagin , Alexander Shapovalov

Automated parking is a critical feature of Advanced Driver Assistance Systems (ADAS), where accurate trajectory prediction is essential to bridge perception and planning modules. Despite its significance, research in this domain remains…

Robotics · Computer Science 2025-08-14 Jiarong Wei , Niclas Vödisch , Anna Rehr , Christian Feist , Abhinav Valada
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