Liza Semenova
Liza Semenova
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Talks, Lectures, Workshops
2023
Course "Deep generative modelling"
Course “Deep generative modelling” (10h) at African Institute of Mathematical Sciences (AIMS), South
Jul 10, 2023 — Jul 15, 2023
Muizenberg, South Africa
Course "Machine learning foundations"
Course “Machine learning foundations” (10h) at African Institute of Mathematical Sciences (AIMS), South
Jul 3, 2023 — Jul 9, 2023
Muizenberg, South Africa
Nordic Probabilistic AI School 2023
Lecture “Bayesian workflow”
Jun 15, 2023
Trondheim, Norway
ICLR 2023 First Workshop on "Machine Learning & Global Health"
Organizing ICLR 2023 First Workshop on “Machine Learning & Global Health”"
May 5, 2023
Kigali, Rwanda
BayesComp 2023, Bayesian Inference of Epidemics
Contributed talk “Spatial statistics with deep generative modelling - flexible and efficient disease mapping with MCMC and deep learning”
Mar 12, 2023
Levi, Finland
Variational inference - from theory to practice, Minisymposium
Invited talk at “Variational inference, from theory to practice” Minisymposium of SIAM Conference on Computational Science and Engineering
Mar 2, 2023
Amsterdam, Netherlands
Bayesian Scientific Computing and Probabilistic Programming: inside and outside the “black box”
Workshop at SIAM Conference on Computational Science and Engineering
Feb 28, 2023
Amsterdam, Netherlands
2022
NeurIPS 2022 Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems
Organizing NeurIPS 2022 Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems
Dec 2, 2022
New Orleans, US
Seminar of Autonomous Intelligent Machines and Systems
Invited talk “Deep generative modelling aiding spatial statistics”
Nov 19, 2022
Centre for Doctoral Training in Autonomous Intelligent Machines and Systems
ASTMH annual meeting 2022
Poster “Mapping malaria prevalence in Kenya by reconciling changes in administrative boundaries using MCMC and deep learning”
Oct 29, 2022
Seattle, US (remote)
PDF
Infectious Disease Epidemiology, seminar series
Talk “How can deep generative modelling help with spatial statistics?”
Oct 25, 2022
Imperial College London, St Mary's Campus
XVIth International Congress of Toxicology
Talk “Capturing uncertainty in toxicity profiling models”
Sep 21, 2022
Maastricht, Netherlands
Deep Learning Indaba
Lecture “Mathematics and Statistics for Machine Learning”
Aug 21, 2022
Tunis, Tunisia
Slides
Uniq+: DeepMind social lunches
Aug 19, 2022
Oxford, Statistics Department
Unceratinty in Artificial Intelligence (UAI)
Talk at the 5th Workshop on Tractable Probabilistic Modeling
Aug 6, 2022
Eindhoven, Netherlands
Code
Video
Oxford Computational Statistics and Machine Learning (OxCSML) seminar
Talk “Encoding spatial priors with VAEs for small area estimation”.
Jun 26, 2022
Oxford, UK
Code
Nordic Probabilistic AI School 2022
Lecture “Bayesian workflow”
Jun 26, 2022
Helsinki, Finland
Code
Slides
Video
Cambridge’s first ML research event for undergraduates
Apr 26, 2022
Cambridge University
University of Lancaster, CHICAS
Feb 10, 2022
remote
2021
Berlin Bayesians Meetup
Talk “Bayesian workflow for disease transmission modeling in Stan”
Dec 5, 2021
remote
Code
Slides
Video
2020
PyMCon-2020 conference
Talk “Building an ordered logistic regression model for toxicity prediction”.
Nov 5, 2020
remote
Code
Video
Learning Bayesian Statistics podcast
Episode “Gaussian Processes, Bayesian Neural Nets & SIR Models”.
Aug 13, 2020
remote
Video
Hands-on Bayesian Machine Learning with Julia
Predictive machine learning and statistical models have been successfully applied to a vast variety of fields. Traditional approaches …
Jan 25, 2020
Lausanne, Switzerland
Code
Slides
Applied Machine Learning Days (AMLD)
Talk “Bayesian Neural Networks for toxicity prediction”.
Jan 25, 2020
Lausanne, Switzerland
Code
Video
2019
Bayesian Inference with Python
Nov 25, 2019
Basel, Switzerland
Code
Slides
StanCon-2019
Poster “Predicting severity of drug-induced liver injury with uncertainty”.
Jun 25, 2019
Cambridge, UK
Code
Slides
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