Results 21 to 30 of about 18,616,519 (314)
Torsional Diffusion for Molecular Conformer Generation [PDF]
Neural Information Processing Systems, 2022 Molecular conformer generation is a fundamental task in computational chemistry. Several machine learning approaches have been developed, but none have outperformed state-of-the-art cheminformatics methods.
Bowen Jing +4 more
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Diffusion-GAN: Training GANs with Diffusion [PDF]
International Conference on Learning Representations, 2022 Generative adversarial networks (GANs) are challenging to train stably, and a promising remedy of injecting instance noise into the discriminator input has not been very effective in practice.
Zhendong Wang +4 more
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Design and control of gas diffusion process in a nanoporous soft crystal
Science, 2019 Flexibility in gas absorption Soft materials such as porous coordination polymer (PCP) can exhibit temperature-dependent flexible motions of their internal pores that can assist in gas separation and storage. Gu et al.
Cheng Gu +6 more
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Diffusion Probabilistic Models for 3D Point Cloud Generation [PDF]
Computer Vision and Pattern Recognition, 2021 We present a probabilistic model for point cloud generation, which is fundamental for various 3D vision tasks such as shape completion, upsampling, synthesis and data augmentation.
Shitong Luo, Wei Hu
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Reaction-diffusion processes with nonlinear diffusion [PDF]
Physical Review E, 2012 We study reaction-diffusion processes with concentration-dependent diffusivity. First, we determine the decay of the concentration in the single-species and two-species diffusion-controlled annihilation processes. We then consider two natural inhomogeneous realizations.
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ANOVA for diffusions and Itô processes [PDF]
The Annals of Statistics, 2006 It processes are the most common form of continuous semimartingales, and include diffusion processes. This paper is concerned with the nonparametric regression relationship between two such It processes. We are interested in the quadratic variation (integrated volatility) of the residual in this regression, over a unit of time (such as a day).
Mykland, Per Aslak, Zhang, Lan
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Regularized Diffusion Process on Bidirectional Context for Object Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 Diffusion process has advanced object retrieval greatly as it can capture the underlying manifold structure. Recent studies have experimentally demonstrated that tensor product diffusion can better reveal the intrinsic relationship between objects than ...
S. Bai +3 more
semanticscholar +1 more source
3D Shape Generation and Completion through Point-Voxel Diffusion [PDF]
IEEE International Conference on Computer Vision, 2021 We propose a novel approach for probabilistic generative modeling of 3D shapes. Unlike most existing models that learn to deterministically translate a latent vector to a shape, our model, Point-Voxel Diffusion (PVD), is a unified, probabilistic ...
Linqi Zhou, Yilun Du, Jiajun Wu
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Diffusion Models already have a Semantic Latent Space [PDF]
International Conference on Learning Representations, 2022 Diffusion models achieve outstanding generative performance in various domains. Despite their great success, they lack semantic latent space which is essential for controlling the generative process.
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
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Regularized Diffusion Process for Visual Retrieval
AAAI Conference on Artificial Intelligence, 2017 Diffusion process has advanced visual retrieval greatly owing to its capacity in capturing the geometry structure of the underlying manifold. Recent studies (Donoser and Bischof 2013) have experimentally demonstrated that diffusion process on the ...
S. Bai +3 more
semanticscholar +1 more source