681 citations · 957 across the 11 of their papers we have counts for
15 papers
Group Invariant Spectral Embedding
Yeari Vigder, Paulina Hoyos, David Thong +3
Spectral embedding methods are widely used for dimensionality reduction and clustering of high-dimensional datasets with intrinsic low-dimensional structures. Although many dataset…
Wavelet Moments for Cosmological Parameter Estimation
Michael Eickenberg, Erwan Allys, Azadeh Moradinezhad Dizgah +10
Extracting non-Gaussian information from the non-linear regime of structure formation is key to fully exploiting the rich data from upcoming cosmological surveys probing the large-…
Bias and variance reduction and denoising for CTF Estimation
Ayelet Heimowitz, Joakim Andén, Amit Singer
When using an electron microscope for imaging of particles embedded in vitreous ice, the objective lens will inevitably corrupt the projection images. This corruption manifests as…
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM
Roy R. Lederman, Joakim Andén, Amit Singer
Cryo-electron microscopy (cryo-EM), the subject of the 2017 Nobel Prize in Chemistry, is a technology for determining the 3-D structure of macromolecules from many noisy 2-D projec…
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
Amit Moscovich, Amit Halevi, Joakim Andén +1
Single-particle electron cryomicroscopy is an essential tool for high-resolution 3D reconstruction of proteins and other biological macromolecules. An important challenge in cryo-E…
Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis +15
The wavelet scattering transform is an invariant signal representation suitable for many signal processing and machine learning applications. We present the Kymatio software packag…
Multitaper estimation on arbitrary domains
Joakim Andén, José Luis Romero
Multitaper estimators have enjoyed significant success in estimating spectral densities from finite samples using as tapers Slepian functions defined on the acquisition domain. Unf…
Extended playing techniques: The next milestone in musical instrument recognition
Vincent Lostanlen, Joakim Andén, Mathieu Lagrange
The expressive variability in producing a musical note conveys information essential to the modeling of orchestration and style. As such, it plays a crucial role in computer-assist…
Joint Time-Frequency Scattering
Joakim Andén, Vincent Lostanlen, Stéphane Mallat
In time series classification and regression, signals are typically mapped into some intermediate representation used for constructing models. Since the underlying task is often in…
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM Framework
Ayelet Heimowitz, Joakim Andén, Amit Singer
Particle picking is a crucial first step in the computational pipeline of single-particle cryo-electron microscopy (cryo-EM). Selecting particles from the micrographs is difficult…
Structural Variability from Noisy Tomographic Projections
Joakim Andén, Amit Singer
In cryo-electron microscopy, the 3D electric potentials of an ensemble of molecules are projected along arbitrary viewing directions to yield noisy 2D images. The volume maps repre…
Factor Analysis for Spectral Estimation
Joakim Andén, Amit Singer
Power spectrum estimation is an important tool in many applications, such as the whitening of noise. The popular multitaper method enjoys significant success, but fails for short s…
Joint Time-Frequency Scattering for Audio Classification
Joakim Andén, Vincent Lostanlen, Stéphane Mallat
We introduce the joint time-frequency scattering transform, a time shift invariant descriptor of time-frequency structure for audio classification. It is obtained by applying a two…
Covariance estimation using conjugate gradient for 3D classification in Cryo-EM
Joakim Andén, Eugene Katsevich, Amit Singer
Classifying structural variability in noisy projections of biological macromolecules is a central problem in Cryo-EM. In this work, we build on a previous method for estimating the…
Deep Scattering Spectrum
Joakim Andén, Stéphane Mallat
A scattering transform defines a locally translation invariant representation which is stable to time-warping deformations. It extends MFCC representations by computing modulation…