Alexandra Volokhova — accepted AI-conference papers

2026

Position: Irresponsible AI: big tech’s influence on AI research and associated impacts

Alex Hernandez-Garcia, Alexandra Volokhova, Ezekiel Williams, Dounia Shaaban Kabakibo, Mélisande Teng

ICML 2026oral

The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing presence of big tech in the AI field. This trend has been accompanied by growing ethical concerns and intensified societal and environmental impacts. This position paper argues …

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2023

A theory of continuous generative flow networks

Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García +3

ICML 2023poster

Generative flow networks (GFlowNets) are amortized variational inference algorithms that are trained to sample from unnormalized target distributions over compositional objects. A key limitation of GFlowNets until this time has been that they are restricted to discrete spaces. We present a theory fo…

Cited by 90 Source ↗PDF ↗code ↗Scholar ↗

2022

Generative Flow Networks for Discrete Probabilistic Modeling

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

ICML 2022spotlight

We present energy-based generative flow networks (EB-GFN), a novel probabilistic modeling algorithm for high-dimensional discrete data. Building upon the theory of generative flow networks (GFlowNets), we model the generation process by a stochastic data construction policy and thus amortize expensi…

Cited by 120 Source ↗PDF ↗code ↗Scholar ↗