activity
20102026
most citedEfficient high-resolution refinement in cryo-EM with stochastic gradient descent

4 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

The microscope is the mask: privileged views and labels from a cryo-ET forward model

Bogdan Toader, Kiarash Jamali, Tanmay A. M. Bharat +1

We explore the use of simulated data for training a model for protein annotation in crowded cryo-electron tomography volumes reconstructed from images collected at limited tilt ang…

math.NA2023★ 4 cited

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent

Bogdan Toader, Marcus A. Brubaker, Roy R. Lederman

Electron cryomicroscopy (cryo-EM) is an imaging technique widely used in structural biology to determine the three-dimensional structure of biological molecules from noisy two-dime…

stat.ML2023★ 1 cited

On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena

Roy R. Lederman, Bogdan Toader

Many techniques in machine learning attempt explicitly or implicitly to infer a low-dimensional manifold structure of an underlying physical phenomenon from measurements without an…

q-bio.BM2022

Methods for Cryo-EM Single Particle Reconstruction of Macromolecules having Continuous Heterogeneity

Bogdan Toader, Fred J. Sigworth, Roy R. Lederman

Macromolecules change their shape (conformation) in the process of carrying out their functions. The imaging by cryo-electron microscopy of rapidly-frozen, individual copies of mac…

q-bio.QM2022

Integrating molecular models into CryoEM heterogeneity analysis using scalable high-resolution deep Gaussian mixture models

Muyuan Chen, Bogdan Toader, Roy Lederman

Resolving the structural variability of proteins is often key to understanding the structure-function relationship of those macromolecular machines. Single particle analysis using…

math.OC2020

The dual approach to non-negative super-resolution: perturbation analysis and data fidelity

Stéphane Chrétien, Andrew Thompson, Bogdan Toader

We study the problem of super-resolution, where we recover the locations and weights of non-negative point sources from (potentially noisy) samples of their convolution with a Gaus…

math.OC2019

The dual approach to non-negative super-resolution: impact on primal reconstruction accuracy

Stephane Chretien, Andrew Thompson, Bogdan Toader

We study the problem of super-resolution, where we recover the locations and weights of non-negative point sources from a few samples of their convolution with a Gaussian kernel. I…

math.OC2018

Sparse non-negative super-resolution -- simplified and stabilised

Armin Eftekhari, Jared Tanner, Andrew Thompson +2

The convolution of a discrete measure, , with a local window function, , is a common model for a measurement device whose resolution is substantia…

math.QA2010

On the dimension of the space of integrals on coalgebras

S. Dăscălescu, C. Năstăsescu, B. Toader

We study the injective envelopes of the simple right -comodules, and their duals, where is a coalgebra. This is used to give a short proof and to extend a result of Iovanov…