Alexandra Volokhova

According to our database, Alexandra Volokhova authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

The implicated scientist: on the role of AI researchers in the development of weapons systems.

Alexandra Volokhova, Alex Hernández-García

CoRR, April, 2026

2025

Irresponsible AI: big tech's influence on AI research and associated impacts.

Alex Hernández-García, Alexandra Volokhova, Ezekiel Williams, Dounia Shaaban Kabakibo

CoRR, December, 2025

Torsional-GFN: a conditional conformation generator for small molecules.

Alexandra Volokhova, Léna Néhale Ezzine, Piotr Gainski, Luca Scimeca, Emmanuel Bengio, Prudencio Tossou, Yoshua Bengio, Alex Hernández-García

CoRR, July, 2025

2023

Towards equilibrium molecular conformation generation with GFlowNets.

Alexandra Volokhova, Michal Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca A. Thiede, Zichao Yan, Alán Aspuru-Guzik, Yoshua Bengio

CoRR, 2023

Crystal-GFN: sampling crystals with desirable properties and constraints.

Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt

CoRR, 2023

A theory of continuous generative flow networks.

Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin

Proceedings of the International Conference on Machine Learning, 2023

2022

Generative Flow Networks for Discrete Probabilistic Modeling.

Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio

Proceedings of the International Conference on Machine Learning, 2022

2020

Stochasticity in Neural ODEs: An Empirical Study.

Viktor Oganesyan, Alexandra Volokhova, Dmitry P. Vetrov

CoRR, 2020

2019

Semi-Conditional Normalizing Flows for Semi-Supervised Learning.

Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry P. Vetrov

CoRR, 2019

Cherenkov Detectors Fast Simulation Using Neural Networks.

Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova

CoRR, 2019