27 citations · 33 across the 5 of their papers we have counts for
6 papers
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…
All-atom inverse protein folding through discrete flow matching
Kai Yi, Kiarash Jamali, Sjors H. W. Scheres
The recent breakthrough of AlphaFold3 in modeling complex biomolecular interactions, including those between proteins and ligands, nucleotides, or metal ions, creates new opportuni…
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
Kiarash Jamali, Dari Kimanius, Sjors H. W. Scheres
Electron cryo-microscopy (cryo-EM) produces three-dimensional (3D) maps of the electrostatic potential of biological macromolecules, including proteins. Along with knowledge about…
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
Silviu Pitis, Harris Chan, Kiarash Jamali +1
Distances are pervasive in machine learning. They serve as similarity measures, loss functions, and learning targets; it is said that a good distance measure solves a task. When de…
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
Yuchen Li, Safwan Hossain, Kiarash Jamali +1
We consider a classifier whose test set is exposed to various perturbations that are not present in the training set. These test samples still contain enough features to map them t…
ChainGAN: A sequential approach to GANs
Safwan Hossain, Kiarash Jamali, Yuchen Li +1
We propose a new architecture and training methodology for generative adversarial networks. Current approaches attempt to learn the transformation from a noise sample to a generate…