Results 21 to 30 of about 29,508,989 (334)
Journal of Intelligence, 2020 In comparison to young adults, middle-aged and old people show lower scores in intelligence tests and slower response times in elementary cognitive tasks.
Mischa von Krause +3 more
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Planning with Diffusion for Flexible Behavior Synthesis [PDF]
International Conference on Machine Learning, 2022 Model-based reinforcement learning methods often use learning only for the purpose of estimating an approximate dynamics model, offloading the rest of the decision-making work to classical trajectory optimizers.
Michael Janner +3 more
semanticscholar +1 more source
Numerical modeling of cross-diffusion processes [PDF]
E3S Web of Conferences, 2023 The paper studied the processes represented by a system of equations of a particular product of the parabolic type. For the solution of mutual diffusion problems, evaluations were obtained according to the environmental parameters and the dimensions of ...
Muhamediyeva D. K. +2 more
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Extracting Training Data from Diffusion Models [PDF]
USENIX Security Symposium, 2023 Image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have attracted significant attention due to their ability to generate high-quality synthetic images.
Nicholas Carlini +8 more
semanticscholar +1 more source
DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling
Geochemistry, Geophysics, Geosystems, 2021 In order to reconcile petrological and geophysical observations of magmatic processes in the temporal domain, the uncertainties in diffusion timescales need to be rigorously assessed.
Euan J. F. Mutch +4 more
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AudioLDM: Text-to-Audio Generation with Latent Diffusion Models [PDF]
International Conference on Machine Learning, 2023 Text-to-audio (TTA) system has recently gained attention for its ability to synthesize general audio based on text descriptions. However, previous studies in TTA have limited generation quality with high computational costs.
Haohe Liu +7 more
semanticscholar +1 more source
On the Generalization of Diffusion Model
CoRR, 2023 The diffusion probabilistic generative models are widely used to generate high-quality data. Though they can synthetic data that does not exist in the training set, the rationale behind such generalization is still unexplored. In this paper, we formally define the generalization of the generative model, which is measured by the mutual information ...
Mingyang Yi, Jiacheng Sun, Zhenguo Li
openaire +3 more sources
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models [PDF]
ACM Transactions on Graphics, 2023 We introduce 3DShape2VecSet, a novel shape representation for neural fields designed for generative diffusion models. Our shape representation can encode 3D shapes given as surface models or point clouds, and represents them as neural fields. The concept
Biao Zhang +3 more
semanticscholar +1 more source
The Stable Signature: Rooting Watermarks in Latent Diffusion Models [PDF]
IEEE International Conference on Computer Vision, 2023 Generative image modeling enables a wide range of applications but raises ethical concerns about responsible deployment. We introduce an active content tracing method combining image watermarking and Latent Diffusion Models. The goal is for all generated
Pierre Fernandez +4 more
semanticscholar +1 more source