Results 1 to 10 of about 18,710,339 (259)
Inference for Convolutionally Observed Diffusion Processes [PDF]
Entropy, 2020 We propose a new statistical observation scheme of diffusion processes named convolutional observation, where it is possible to deal with smoother observation than ordinary diffusion processes by considering convolution of diffusion processes and some ...
Shogo H Nakakita, Masayuki Uchida
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Cox process representation and inference for stochastic reaction-diffusion processes. [PDF]
Nat Commun, 2016 Complex behaviour in many systems arises from the stochastic interactions of spatially distributed particles or agents. Stochastic reaction–diffusion processes are widely used to model such behaviour in disciplines ranging from biology to the social ...
Schnoerr D, Grima R, Sanguinetti G.
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Neural Diffusion Processes [PDF]
International Conference on Machine Learning, 2022 Neural network approaches for meta-learning distributions over functions have desirable properties such as increased flexibility and a reduced complexity of inference.
Vincent Dutordoir +3 more
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Time reversal of diffusion processes under a finite entropy condition [PDF]
Annales De L Institut Henri Poincare-probabilites Et Statistiques, 2021 Motivated by entropic optimal transport, time reversal of diffusion processes is revisited. An integration by parts formula is derived for the carr\'e du champ of a Markov process in an abstract space. It leads to a time reversal formula for a wide class
P. Cattiaux +3 more
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Superposition of diffusion processes [PDF]
Journal of the Mathematical Society of Japan, 1980 Matsuyo Tomisaki
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Elucidating the Design Space of Diffusion-Based Generative Models [PDF]
Neural Information Processing Systems, 2022 We argue that the theory and practice of diffusion-based generative models are currently unnecessarily convoluted and seek to remedy the situation by presenting a design space that clearly separates the concrete design choices.
Tero Karras +3 more
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Nanomaterials, 2022 Novel representative 2D materials of the Janus type family X-M-ZN2 are studied. These materials are hybrids of a transition metal dichalcogenide and a material from the MoSi2N4 family, and they were constructed and optimized from the MoSi2N4 monolayer by
Ruslan M. Meftakhutdinov +1 more
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MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation [PDF]
International Conference on Machine Learning, 2023 Recent advances in text-to-image generation with diffusion models present transformative capabilities in image quality. However, user controllability of the generated image, and fast adaptation to new tasks still remains an open challenge, currently ...
Omer Bar-Tal +3 more
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Innovation Diffusion Processes: Concepts, Models, and Predictions
Annual Review of Statistics and Its Application, 2022 Innovation diffusion processes have attracted considerable research attention for their interdisciplinary character, which combines theories and concepts from disciplines such as mathematics, physics, statistics, social sciences, marketing, economics ...
M. Guidolin, P. Manfredi
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Modelling of Electron and Thermal Transport in Quasi-Fractal Carbon Nitride Nanoribbons
Fractal and Fractional, 2022 In this work, using calculations based on the density functional theory, molecular dynamics, non-equilibrium Green functions method, and Monte Carlo simulation, we study electronic and phonon transport in a device based on quasi-fractal carbon nitride ...
Renat T. Sibatov +4 more
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