Natalia Dyubankova

According to our database, Natalia Dyubankova authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Correction: Global reactivity models are impactful in industrial synthesis applications.

Paulo Neves, Kelly McClure, Jonas Verhoeven, Natalia Dyubankova, Ramil I. Nugmanov, Andrey Gedich, Sairam Menon, Zhicai Shi, Jörg K. Wegner

J. Cheminformatics, December, 2023

Global reactivity models are impactful in industrial synthesis applications.

Paulo Neves, Kelly McClure, Jonas Verhoeven, Natalia Dyubankova, Ramil I. Nugmanov, Andrey Gedich, Sairam Menon, Zhicai Shi, Jörg K. Wegner

J. Cheminformatics, December, 2023

2022

Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks.

Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Marwin H. S. Segler, Sepp Hochreiter, Günter Klambauer

J. Chem. Inf. Model., 2022

Bidirectional Graphormer for Reactivity Understanding: Neural Network Trained to Reaction Atom-to-Atom Mapping Task.

Ramil I. Nugmanov, Natalia Dyubankova, Andrey Gedich, Jörg Kurt Wegner

J. Chem. Inf. Model., 2022

Quantum Extremal Learning.

Savvas Varsamopoulos, Evan Philip, Herman W. T. van Vlijmen, Sairam Menon, Ann Vos, Natalia Dyubankova, Bert Torfs, Anthony Rowe, Vincent E. Elfving

CoRR, 2022

2021

Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction.

Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer

CoRR, 2021