Vladimir Kondratyev | Machine Learning Researcher

Hello! I'm Vladimir Kondratyev. I currently pursue a PhD in statistical machine learning at MBZUAI, under the supervision of Maxim Panov and Eric Moulines. Working on multidimensional conformal prediction and uncertainty quantification.

Publications

Neural Optimal Transport Meets Multivariate Conformal Prediction, 2026 ICLR — Project page
Multidimensional Uncertainty Quantification via Optimal Transport, Submitted to 2026 NeurIPS
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