5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 5 cited
Denoising Diffusion Probabilistic Models in Six Simple Steps
Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou +3
Denoising Diffusion Probabilistic Models (DDPMs) are a very popular class of deep generative model that have been successfully applied to a diverse range of problems including imag…
cs.LG2023
Hyperparameter Optimization through Neural Network Partitioning
Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
Well-tuned hyperparameters are crucial for obtaining good generalization behavior in neural networks. They can enforce appropriate inductive biases, regularize the model and improv…