Score-Based Generative Modeling through Stochastic Differential Equations · HackerPapers discussions

Score-Based Generative Modeling through Stochastic Differential Equations — mentioned by jdeaton

Sun, 11 Dec 2022 19:22:44 GMT

Because of criteria 0, 1, 2 these entirely depend on the individual. However, some papers which fit the criteria for me at the time were the following: - Score-Based Generative Modeling through Stochastic Differential Equations https://arxiv.org/abs/2011.13456 - Structured Denoising Diffusion Models in Discrete State-Spaces https://arxiv.org/abs/2107.03006 - Efficient and Modular Implicit Differentiation https://arxiv.org/abs/2105.15183 - Scalable Gradients for Stochastic Differential Equations https://arxiv.org/abs/2001.01328 - Bayesian Optimization with Unknown Constraints…

Paper and discussion history. A mention is not an endorsement.

Score-Based Generative Modeling through Stochastic Differential Equations — mentioned by igorkraw

Fri, 15 Oct 2021 15:10:58 GMT

Need to read this one, if you are the authors can I ask you to delineate it against Song et al. "Score-Based Generative Modeling through Stochastic Differential Equations" https://arxiv.org/abs/2011.13456 ?

Paper and discussion history. A mention is not an endorsement.

Score-Based Generative Modeling through Stochastic Differential Equations — mentioned by phonebucket

Wed, 12 May 2021 08:46:46 GMT

This new approach to generative modelling looks very intriguing. In a similar ilk, there's this ICLR paper from this year using stochastic differential equations for generative modelling: https://arxiv.org/abs/2011.13456

Paper and discussion history. A mention is not an endorsement.