I gave over 10+ presentations on Generative Models of 40+ papers in Professor Han Liu's MAGICS Lab at Northwestern University. Main Topics included:
Beyesian Statistics, Variational Inference, VAE, DDPM, DDIM, Score-based SDE, Neural ODE, PF ODE is Proven Fast, EDM, Normaling Flow, Flow Matching, Consistency Model.
Selected Talks:
https://docs.google.com/presentation/d/1C4ShTOHLEKV8C2vYHCW5bZqckqe6RRzNQNUNG6_er7A/edit#slide=id.g2fc5651e2d0_0_5
https://docs.google.com/presentation/d/1NHOuq1nIMUucHWniYjx206fC-gjxcj5C5wRpHRv-3Ps/edit#slide=id.g321400f667a_0_0
https://docs.google.com/presentation/d/1V7udzMPCW22ZN6UTV60SOBvZOYy5XuB4cTRKIuPAzuA/edit#slide=id.g322a313a0f0_0_0
https://docs.google.com/presentation/d/1HU1h-N-4mlDGNrA7NqeigBB9tXzryC0y1FPUHIYAZjE/edit#slide=id.g3033cc466bf_2_85
https://docs.google.com/presentation/d/1ZLtAE0YCqBuIHTaASdYx2n9o069qms64DyUV5UAG7vI/edit#slide=id.g30ee18643f9_0_58
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https://docs.google.com/presentation/d/1p2iXWjl7OK5BQXvpiID1ce2_gLKjJhsEp3RWaHl7pOc/edit#slide=id.p
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If you're new to this field, Eric J. Ma's tutorial is incredibly useful.
https://ericmjl.github.io/score-models/notebooks/01-score-function.html