Elizaveta Semenova

24 papers Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI. CoRR Shreyansh Padarha, Ryan Othniel Kearns, Tristan Naidoo, Lingyi Yang, Lukasz Borchmann, Piotr Blaszczyk, Christian Morgenstern, Ruth McCabe, Sangeeta Bhatia, Philip Torr, Jakob N. Foerster, Scott A. Hale, Thomas Rawson, Anne Cori, Elizaveta Semenova, Adam Mahdi
2026	J	`jnl`	From Mice to Trains: Amortized Bayesian Inference on Graph Data. CoRR Svenja Jedhoff, Elizaveta Semenova, Aura Raulo, Anne Meyer, Paul-Christian Bürkner
2025	J	`jnl`	Artificial intelligence for modelling infectious disease epidemics. Nat. 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, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt
2025	J	`jnl`	Case for a unified surrogate modelling framework in the age of AI. CoRR Elizaveta Semenova
2025	J	`jnl`	DeepRV: pre-trained spatial priors for accelerated disease mapping. CoRR Jhonathan Navott, Daniel Jenson, Seth R. Flaxman, Elizaveta Semenova
2025	J	`jnl`	Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes. CoRR Daniel Jenson, Jhonathan Navott, Piotr Grynfelder, Mengyan Zhang, Makkunda Sharma, Elizaveta Semenova, Seth R. Flaxman
2025	—	`conf`	The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisation. FAccT Jabez Magomere, Shu Ishida, Tejumade Afonja, Aya Salama, Daniel Kochin, Foutse Yuehgoh, Imane Hamzaoui, Raesetje Sefala, Aisha Alaagib, Samantha Dalal, Beatrice Marchegiani, Elizaveta Semenova, Lauren Crais, Siobhan Mackenzie Hall
2024	J	`jnl`	Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models. PLoS Comput. Biol. Judith A. Bouman, Anthony Hauser, Simon L. Grimm, Martin Wohlfender, Samir Bhatt, Elizaveta Semenova, Andrew Gelman, Christian L. Althaus, Julien Riou
2024	—	`conf`	Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. Epi UAI Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin
2024	J	`jnl`	Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. CoRR Conor Hassan, Joshua J. Bon, Elizaveta Semenova, Antonietta Mira, Kerrie L. Mengersen
2024	J	`jnl`	The impact of health inequity on spatial variation of COVID-19 transmission in England. PLoS Comput. Biol. Thomas Rawson, Wes Hinsley, Raphael Sonabend, Elizaveta Semenova, Anne Cori, Neil M. Ferguson
2024	J	`jnl`	Transformer Neural Processes - Kernel Regression. CoRR Daniel Jenson, Jhonathan Navott, Mengyan Zhang, Makkunda Sharma, Elizaveta Semenova, Seth R. Flaxman
2024	J	`jnl`	You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes. CoRR Jabez Magomere, Shu Ishida, Tejumade Afonja, Aya Salama, Daniel Kochin, Foutse Yuehgoh, Imane Hamzaoui, Raesetje Sefala, Aisha Alaagib, Elizaveta Semenova, Lauren Crais, Siobhan Mackenzie Hall
2023	J	`jnl`	Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya. CoRR Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin
2023	J	`jnl`	PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling. CoRR Elizaveta Semenova, Max Cairney-Leeming, Seth R. Flaxman
2021	J	`jnl`	Encoding spatiotemporal priors with VAEs for small-area estimation. CoRR Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth R. Flaxman
2020	J	`jnl`	Canonical Description for Formulation of Embedding Gravity as a Field Theory in a Flat Spacetime. Symmetry Sergey Paston, Elizaveta Semenova, Anton Sheykin
2019	—	`conf`	Emerging Integrated Platforms for Nonlinear Optical Signal Processing. OECC/PSC Minhao Pu, Erik Stassen, Yi Zheng, Chanju Kim, Yong Liu, Elizaveta Semenova, Kresten Yvind
2019	—	`conf`	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. OFC Deming Kong, Minhao Pu, Yong Liu, Yi Zheng, Elizaveta Semenova, Kresten Yvind, Leif Katsuo Oxenløwe, Michael Galili, Hao Hu
2017	—	`conf`	Social Media in Mexico, Argentina and Venezuela: Legal and Political Framework. CeDEM Radomir V. Bolgov, Olga Filatova, Elizaveta Semenova
2017	—	`conf`	Towards Polarization-Independent Four-Wave Mixing in Dispersion Engineered AlGaAs-on-Insulator Nano-Waveguide. ECOC Minhao Pu, Luisa Ottaviano, Elizaveta Semenova, Kresten Yvind
2015	—	`conf`	AlGaAs-on-insulator nanowire with 750 nm FWM bandwidth, -9 dB CW conversion efficiency, and ultrafast operation enabling record Tbaud wavelength conversion. OFC Minhao Pu, Hao Hu, Luisa Ottaviano, Elizaveta Semenova, D. Vukovic, Leif K. Oxenløwe, Kresten Yvind
2015	—	`conf`	Highly sensitive photonic crystal cavity laser noise measurements using Bayesian filtering. OFC Molly Piels, Weiqi Xue, Christian G. Schaeffer, Yi Yu, Elizaveta Semenova, Luisa Ottaviano, Kresten Yvind, Idelfonso Tafur Monroy, Jesper Mørk, Darko Zibar
2015	—	`conf`	III-V/SOI vertical cavity laser with in-plane output into a Si waveguide. OFC Gyeong Cheol Park, Weiqi Xue, Elizaveta Semenova, Kresten Yvind, Jesper Mørk, Il-Sug Chung