Vladimir Kondratyev | Machine Learning Researcher

Hello! I'm Vladimir Kondratyev, a software engineer and researcher with a strong interest in applied mathematics, Bayesian statistics, and uncertainty quantification. I currently pursue a PhD in statistical machine learning at MBZUAI, under the supervision of Maxim Panov and Eric Moulines. Over the course of my studies and professional experience, I've completed a variety of projects—ranging from simple front-end development to the design and implementation of complex machine learning systems. I'm currently based in France and always open to collaborations—feel free to reach out. I have research work accepted at ICLR 2026, see you in Rio!

Publications

Neural Optimal Transport Meets Multivariate Conformal Prediction, 2026 ICLR — Project page
Multidimensional Uncertainty Quantification via Optimal Transport, Submitted to 2026 IJCAI
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation, 2025 ICLR
Workshop on number representation, 2025 Pulse AI
Generative model based on junction tree variational autoencoder, 2022 Journal of Cheminformatics
Weakly Supervised Multi-Output Regression, 2023 Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk