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candidate_training

Reproducible version of the experiments in "Leveraging inductive bias of neural networks for learning without explicit human annotations"

channel_normalization

cinemri

convdecoder

An un-trained neural network with a potential application in accelerated MRI

cs_deep_decoder

deep_inverse_book.github.io

deepdewedge

Self-supervised deep learning for denoising and missing wedge reconstruction of cryo-ET tomograms

early_stopping_double_descent

Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''

imagenet_candidate_training

Training on noisy Flickr labels without annotators for better classification performance in ImageNet classification problem.

imaging_mlps

monotonic_risk_relationships

mri_data_diversity

noisy_dna_data_storage

Data recovery from millions of noisy reads

overparameterized_convolutional_generators

recalibrating_conformal_prediction

QTC: Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples

regularization-wise_double_descent

regularization_based_continual_learning

robust_reconstructors_via_jittering

robustness-cs

Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.

sample_complexity_ss_recon

scaling_laws_for_deep_learning_based_image_reconstruction

transformers_for_imaging

ttt_for_deep_learning_cs