Statistical Learning
Class-Conditional Conformal Prediction with Many Classes
We propose a method called clustered conformal prediction that clusters together classes having "similar" conformal
A Data and Software Availability 532 A.1 Data Availability
As shown in Figure 13, we applied higher noise settings (SNR 0.005, 0.001) to the
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
Single particle cryo-electron microscopy (cryo-EM) is a widely used imaging technique for visualizing biomolecular complexes at near-atomic resolution.
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Uncertainty quantification (UQ) is important for reliability assessment and enhancement of machine learning models.
On the spectral bias of two-layer linear networks
The most forceful driver of advancements in the field of Machine Learning over the past decades has been the success of deep neural networks.
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
Addressing these challenges requires scale. To that end we introduce ProteinGym, a large-scale and holistic set of benchmarks specifically designed for protein fitness prediction and design.
