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Advances in Neural Information Processing Systems 35, 2022 Generating temporally coherent high fidelity video is an important milestone in generative modeling research. We make progress towards this milestone by proposing a diffusion model for video generation that shows very promising initial results. Our model
Jonathan Ho +5 more
semanticscholar +4 more sources
Diffusion Probabilistic Modeling for Video Generation [PDF]
Entropy, 2023 Denoising diffusion probabilistic models are a promising new class of generative models that mark a milestone in high-quality image generation. This paper showcases their ability to sequentially generate video, surpassing prior methods in perceptual and ...
Ruihan Yang +2 more
doaj +2 more sources
Information diffusion modeling and analysis for socially interacting networks. [PDF]
Soc Netw Anal Min, 2021 Social network analysis provides innovative techniques to analyze interactions among entities by emphasizing social relationships. Diffusion in the social network can be referred to spread of information among interconnected nodes or entities in a ...
Kumar P, Sinha A.
europepmc +2 more sources
Decision Dynamics in Early Numerical Estimation: Evidence from the Dual-NLET and Drift Diffusion Modeling [PDF]
Journal of IntelligenceThe present study examined the cognitive mechanisms underlying decision-making in number-line estimation in 26 preschoolers through the lens of the evidence-accumulation paradigm.
Maybí Morell-Ruiz +5 more
doaj +2 more sources
Diffusion Recommender Model [PDF]
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Generative models such as Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are widely utilized to model the generative process of user interactions.
Wenjie Wang +5 more
semanticscholar +4 more sources
Accuracy of timescales retrieved from diffusion modeling in olivine: A 3D perspective
American Mineralogist, 2015 Diffusion modeling in olivine is a useful tool to resolve the timescales of various magmatic processes. Practical olivine geospeedometry applications employ 1D chemical transects across sections that are randomly sampled from a given 3D crystal ...
Thomas Shea +2 more
exaly +2 more sources
The Principles of Diffusion Models
CoRRThis book presents the core principles that have guided the development of diffusion models, tracing their origins and showing how diverse formulations arise from shared mathematical ideas.
Chieh-Hsin Lai +4 more
semanticscholar +3 more sources
A new reference-quality precipitation gauge wind shield [PDF]
Atmospheric Measurement Techniques, 2023 Gauge-based precipitation measurements suffer from undercatch due to the effects of wind, with solid-precipitation measurements especially susceptible to such errors.
J. Kochendorfer +5 more
doaj +1 more source
Residual corrective diffusion modeling for km-scale atmospheric downscaling [PDF]
Communications Earth & Environment, 2023 State of the art for weather and climate hazard prediction requires expensive km-scale numerical simulations. Here, a generative diffusion model is explored for downscaling global inputs to km-scale, as a cost-effective alternative.
Morteza Mardani +9 more
semanticscholar +1 more source
On Diffusion Modeling for Anomaly Detection [PDF]
International Conference on Learning Representations, 2023 Known for their impressive performance in generative modeling, diffusion models are attractive candidates for density-based anomaly detection. This paper investigates different variations of diffusion modeling for unsupervised and semi-supervised anomaly
Victor Livernoche +3 more
semanticscholar +1 more source