III-V/SOI vertical cavity laser with in-plane output into a Si waveguide. - Gyeong Cheol Park; Weiqi Xue; Elizaveta Semenova; Kresten Yvind; Jesper Mørk; Il-Sug Chung (OFC, 2015)

Highly sensitive photonic crystal cavity laser noise measurements using Bayesian filtering. - Molly Piels; Weiqi Xue; Christian G. Schaeffer; Yi Yu; Elizaveta Semenova; Luisa Ottaviano; Kresten Yvind; Idelfonso Tafur Monroy; Jesper Mørk; Darko Zibar (OFC, 2015)

AlGaAs-on-insulator nanowire with 750 nm FWM bandwidth, -9 dB CW conversion efficiency, and ultrafast operation enabling record Tbaud wavelength conversion. - Minhao Pu; Hao Hu 009; Luisa Ottaviano; Elizaveta Semenova; D. Vukovic; Leif K. Oxenløwe; Kresten Yvind (OFC, 2015)

Social Media in Mexico, Argentina and Venezuela: Legal and Political Framework. - Radomir V. Bolgov; Olga Filatova; Elizaveta Semenova (CeDEM, 2017)

Towards Polarization-Independent Four-Wave Mixing in Dispersion Engineered AlGaAs-on-Insulator Nano-Waveguide. - Minhao Pu; Luisa Ottaviano; Elizaveta Semenova; Kresten Yvind (ECOC, 2017)

Wavelength Conversion of 10 Gbit/s Data from 2000 to 1255 nm using an AlGaAsOI Nanowaveguide and a Continuous-Wave Pump in the C Band. - Deming Kong; Minhao Pu; Yong Liu; Yi Zheng; Elizaveta Semenova; Kresten Yvind; Leif Katsuo Oxenløwe; Michael Galili; Hao Hu 009 (OFC, 2019)

Emerging Integrated Platforms for Nonlinear Optical Signal Processing. - Minhao Pu; Erik Stassen; Yi Zheng; Chanju Kim; Yong Liu; Elizaveta Semenova; Kresten Yvind (OECC/PSC, 2019)

Canonical Description for Formulation of Embedding Gravity as a Field Theory in a Flat Spacetime. - Sergey Paston; Elizaveta Semenova; Anton Sheykin (Symmetry, 2020)

Encoding spatiotemporal priors with VAEs for small-area estimation. - Elizaveta Semenova; Yidan Xu; Adam Howes; Theo Rashid; Samir Bhatt; Swapnil Mishra; Seth R. Flaxman (CoRR, 2021)

PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling. - Elizaveta Semenova; Max Cairney-Leeming; Seth R. Flaxman (CoRR, 2023)

Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. - Elizaveta Semenova; Swapnil Mishra; Samir Bhatt; Seth R. Flaxman; H. Juliette T. Unwin (Epi UAI, 2024)

Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. - Conor Hassan; Joshua J. Bon; Elizaveta Semenova; Antonietta Mira; Kerrie L. Mengersen (CoRR, 2024)

You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes. - Jabez Magomere; Shu Ishida; Tejumade Afonja; Aya Salama 001; Daniel Kochin; Foutse Yuehgoh; Imane Hamzaoui; Raesetje Sefala; Aisha Alaagib; Elizaveta Semenova; Lauren Crais; Siobhan Mackenzie Hall (CoRR, 2024)

Transformer Neural Processes - Kernel Regression. - Daniel Jenson; Jhonathan Navott; Mengyan Zhang; Makkunda Sharma; Elizaveta Semenova; Seth R. Flaxman (CoRR, 2024)

Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models. - Judith A. Bouman; Anthony Hauser; Simon L. Grimm; Martin Wohlfender; Samir Bhatt; Elizaveta Semenova; Andrew Gelman; Christian L. Althaus; Julien Riou (PLoS Comput. Biol., 2024)

The impact of health inequity on spatial variation of COVID-19 transmission in England. - Thomas Rawson; Wes Hinsley; Raphael Sonabend; Elizaveta Semenova; Anne Cori; Neil M. Ferguson (PLoS Comput. Biol., 2024)

The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisation. - Jabez Magomere; Shu Ishida; Tejumade Afonja; Aya Salama 001; Daniel Kochin; Foutse Yuehgoh; Imane Hamzaoui; Raesetje Sefala; Aisha Alaagib; Samantha Dalal; Beatrice Marchegiani; Elizaveta Semenova; et al. (FAccT, 2025)

Case for a unified surrogate modelling framework in the age of AI. - Elizaveta Semenova (CoRR, 2025)

Artificial intelligence for modelling infectious disease epidemics. - Moritz U. G. Kraemer; Joseph L.-H. Tsui; Serina Chang; Spyros Lytras; Mark P. Khurana; Samantha Vanderslott; Sumali Bajaj; Neil Scheidwasser; Jacob Liam Curran-Sebastian; Elizaveta Semenova; Mengyan Zhang; H. Juliette T. Unwin; et al. (Nat., 2025)

DeepRV: pre-trained spatial priors for accelerated disease mapping. - Jhonathan Navott; Daniel Jenson; Seth R. Flaxman; Elizaveta Semenova (CoRR, 2025)

Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes. - Daniel Jenson; Jhonathan Navott; Piotr Grynfelder; Mengyan Zhang; Makkunda Sharma; Elizaveta Semenova; Seth R. Flaxman (CoRR, 2025)