[📄preprint] Diffusion models 🤝 MCMC !
Diffusion model samplers are biased due to discretisation
💡The fix: Metropolis-type adjustment on corrector steps
❗️Challenge: no access to the density ratio, only the score
🔑Insight: the score (and some maths) is all you need...
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Congratulations to Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Deisenroth, and Nicolas Durrande on winning AISTATS 2021's the Best Student Paper Award for their paper "Matérn Gaussian Processes on Graphs"
We are excited to announce AISTATS 2021's Best Paper Award to Frederik Kunstner, Raunak Kumar, and Mark Schmidt for their paper "Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent"
VQVAE-2 finally out!
Powerful autoregressive models in a hierarchical compressed latent space. No modes were collapsed in the creation of these samples ;)
Arixv: https://t.co/nQH5dzQhib
With @catamorphist and @vinyals
More samples and details 👇 [thread]
Check out https://t.co/cBigTutSGn, my work with @prafdhar on improving flow-based generative models with invertible 1x1 convolutions. https://t.co/znKj0LnCxm