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 tiao.io
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
| | christopher-beckham.github.io
EDM diffusion models - a Jupyter implementation, and how they are implemented in practice | Christopher Beckham, PhD
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| | I wrote a self-contained implementation of NVIDIA's EDM diffusion model in a Jupyter notebook, as well as its associated sampling algorithms. I also discuss the rather confusing names used for real-world implementations of those algorithms.
| | blog.shakirm.com
A Year of Approximate Inference: Review of the NIPS 2015 Workshop - The Spectator
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| | [dropcap]Probabilistic[/dropcap] inference lies no longer atthe fringe. The importance of how we connect our observed data to the assumptions made by ourstatisticalmodels-the task of inference-w...
| | proceedings.neurips.cc
Hierarchical Implicit Models and Likelihood-Free Variational Inference
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| | vxy10.github.io
Least-square fitting using matrix derivatives
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| Course material for MEC 560: Advanced Control Systems taught at Stony Brook University by Dr. Vivek Yadav