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07/31/2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance
The maximum likelihood principle advocates parameter estimation via opti...
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12/20/2022
RangeAugment: Efficient Online Augmentation with Range Learning
State-of-the-art automatic augmentation methods (e.g., AutoAugment and R...
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05/23/2022
Flexible Diffusion Modeling of Long Videos
We present a framework for video modeling based on denoising diffusion p...
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02/24/2021
Image Completion via Inference in Deep Generative Models
We consider image completion from the perspective of amortized inference...
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10/08/2020
Uncertainty in Neural Processes
We explore the effects of architecture and training objective choice on ...
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03/30/2020
Planning as Inference in Epidemiological Models
In this work we demonstrate how existing software tools can be used to a...
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03/28/2020
Coping With Simulators That Don't Always Return
Deterministic models are approximations of reality that are easy to inte...
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10/20/2019
Amortized Rejection Sampling in Universal Probabilistic Programming
Existing approaches to amortized inference in probabilistic programs wit...
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07/08/2019