Elizaveta Semenova — accepted AI-conference papers

2026

Tokenised Flow Matching for Hierarchical Simulation Based Inference

Giovanni Charles, Cosmo Santoni, Seth Flaxman, Elizaveta Semenova

ICML 2026poster

The cost of simulator evaluations is a key practical bottleneck for Simulation Based Inference (SBI). In hierarchical settings with shared global parameters and exchangeable site-level parameters and observations, this structure can be exploited to improve simulation efficiency. Existing hierarchica…

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2025

SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.

Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge, Alisa Sheinkman, Jon Cockayne

NeurIPS 2025poster

Surrogate models are widely used to approximate complex systems across science and engineering to reduce computational costs. Despite their widespread adoption, the field lacks standardisation across key stages of the modelling pipeline, including data sampling, model selection, evaluation, and down…

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