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02/22/2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Since their introduction, diffusion models have quickly become the preva...
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11/28/2022
Continuous diffusion for categorical data
Diffusion models have quickly become the go-to paradigm for generative m...
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07/17/2020
SBI – A toolkit for simulation-based inference
Scientists and engineers employ stochastic numerical simulators to model...
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02/10/2020
On Contrastive Learning for Likelihood-free Inference
Likelihood-free methods perform parameter inference in stochastic simula...
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06/10/2019
Neural Spline Flows
A normalizing flow models a complex probability density as an invertible...
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06/05/2019
Cubic-Spline Flows
A normalizing flow models a complex probability density as an invertible...
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04/11/2019
Autoregressive Energy Machines
Neural density estimators are flexible families of parametric models whi...
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