All sources cited or reviewed
This is a list of all sources we have used in the TransferLab, with links to the referencing content and metadata, like accompanying code, videos, etc. If you think we should look at something, drop us a line
References
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models,
Learning strides in convolutional neural networks,
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets,
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path,
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models,
Boosting the Certified Robustness of L-infinity Distance Nets,
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation,
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning,
Resolving Training Biases via Influence-based Data Relabeling,
Understanding over-squashing and bottlenecks on graphs via curvature,
Denoising Diffusion Implicit Models,
Variational methods for simulation-based inference,
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion,
Comparing Distributions by Measuring Differences that Affect Decision Making,