Armita Nourmohammad

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 8

Top Topics

Convolutional Neural Network

Probability Estimation

Molecular Dynamics

Natural Selection

Top Venues

Publications

Gian Marco Visani, Michael N. Pun, William Galvin, Eric Daniel, Kevin Borisiak, Utheri Wagura, Armita Nourmohammad
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction. CoRR (2024)
Gian Marco Visani, William Galvin, Michael Neal Pun, Armita Nourmohammad
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing. CoRR (2023)
Gian Marco Visani, William Galvin, Michael N. Pun, Armita Nourmohammad
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing. MLCB (2023)
Michael N. Pun, Andrew Ivanov, Quinn Bellamy, Zachary Montague, Colin H. LaMont, Philip Bradley, Jakub Otwinowski, Armita Nourmohammad
Learning the shape of protein micro-environments with a holographic convolutional neural network. CoRR (2022)
Gian Marco Visani, Michael N. Pun, Armita Nourmohammad
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space. CoRR (2022)
Giulio Isacchini, Natanael Spisak, Armita Nourmohammad, Thierry Mora, Aleksandra M. Walczak
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories. CoRR (2021)
Jakub Otwinowski, Colin H. LaMont, Armita Nourmohammad
Information-Geometric Optimization with Natural Selection. Entropy 22 (9) (2020)
Giulio Isacchini, Carlos Olivares, Armita Nourmohammad, Aleksandra M. Walczak, Thierry Mora
SOS: online probability estimation and generation of T-and B-cell receptors. Bioinform. 36 (16) (2020)
Armita Nourmohammad, Michael Lässig
Formation of Regulatory Modules by Local Sequence Duplication. PLoS Comput. Biol. 7 (10) (2011)