Shayan Shekarforoush
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on the atlas — 28
- cryoem-pose-estimation.pdf1 savers
- Noiser2Noise.pdf1 savers
- Unsupervised Learning with SURE.pdf1 savers
- generalized sure1 savers
- Noise2Score1 savers
- Neighbor2Neighbor1 savers
- Determination of signal-to-noise ratios and spectral SNRs in cryo-EM low-dose imaging of molecules - ScienceDirect1 savers
- On cross-correlations, averages and noise in electron microscopy - PMC1 savers
- Learning to be Bayesian without Supervision1 savers
- SURE mixed poisson gaussian1 savers
- Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images1 savers
- score matching (hyvarinen)1 savers
- An Empirical Bayes Approach (Robbins)1 savers
- score matching and denoising autoencoder.pdf1 savers
- Regularized by Score Matching (LeCun)1 savers
- empirical_bayes_without_prior_or_supervision_raphan.pdf1 savers
- ML vs. Score matching1 savers
- Denoising Density Estimators1 savers
- Deep Energy Estimator.pdf1 savers
- Non-gaussian likelihood1 savers
- Likelihood Non-Gaussianity.pdf1 savers
- Flow-based likelihoods.pdf1 savers
- Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with Non-Gaussian Noise1 savers
- [2007.13640] Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser1 savers
- [2304.11751] Score-Based Diffusion Models as Principled Priors for Inverse Imaging1 savers
- IGM_journal_ver.pdf1 savers
- [2207.13807] Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields1 savers
- [2212.02493] Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields1 savers