| 2024 | MICCAI | LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. | Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boit, Ramin Tadayoni, Pascale Massin, Batrice Cochener, Alireza Rezaei, Ikram Brahim, Gwenol Quellec, Mathieu Lamard |
| 2021 | ISVC | Analysis of Multi-temporal Image Series for the Preventive Conservation of Varnished Wooden Surfaces. | Alireza Rezaei, Sylvie Le Hgarat-Mascle, Emanuel Aldea, Piercarlo Dondi, Marco Malagodi |
| 2020 | ICPR | One step clustering based on a-contrario framework for detection of alterations in historical violins. | Alireza Rezaei, Sylvie Le Hgarat-Mascle, Emanuel Aldea, Piercarlo Dondi, Marco Malagodi |
| 2020 | SODA | Composable Core-sets for Determinant Maximization Problems via Spectral Spanners. | Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei |
| 2019 | FOCS | A Tight Analysis of Bethe Approximation for Permanent. | Nima Anari, Alireza Rezaei |
| 2019 | ICML | Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm. | Sepideh Mahabadi, Piotr Indyk, Shayan Oveis Gharan, Alireza Rezaei |
| 2019 | ICML | A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes. | Alireza Rezaei, Shayan Oveis Gharan |
| 2018 | AVSS | GPU-accelerated Height Map Estimation with Local Geometry Priors in Large Scenes. | Alireza Rezaei, Nicola Pellicano, Emanuel Aldea |
| 2017 | SODA | Approximation Algorithms for Finding Maximum Induced Expanders. | Shayan Oveis Gharan, Alireza Rezaei |
| 2016 | COLT | Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes. | Nima Anari, Shayan Oveis Gharan, Alireza Rezaei |