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Found 9 papers, 6 papers with code
Kymatio: Scattering Transforms in Python
The wavelet scattering transform is an invariant signal representation suitable for many signal processing and machine learning applications.
Deep Scattering Spectrum
A scattering transform defines a locally translation invariant representation which is stable to time-warping deformations.
Sound Information Theory Information Theory
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM Framework
Selecting particles from the micrographs is difficult especially for small particles with low contrast.
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
An important challenge in cryo-EM is the reconstruction of non-rigid molecules with parts that move and deform.
Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques
Furthermore, it minimizes triplet loss in the cluster graph by means of the large-margin nearest neighbor (LMNN) metric learning algorithm.
Covariance estimation using conjugate gradient for 3D classification in Cryo-EM
Classifying structural variability in noisy projections of biological macromolecules is a central problem in Cryo-EM.
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM
We introduce the ``hyper-molecule'' framework for modeling structures across different states of heterogeneous molecules, including continuums of states.
Bias and variance reduction and denoising for CTF Estimation
Our method is based on the multi-taper method for power spectral density estimation, which aims to reduce the bias and variance of the estimator.
Mean-Field Microcanonical Gradient Descent
Microcanonical gradient descent is a sampling procedure for energy-based models allowing for efficient sampling of distributions in high dimension.
