CV

Here is my full CV.

Education

• PhD Student, INRIA, Paris, October 2023 - now
• MSc in Mathematics (Distinction), University of Oxford, United Kingdom, 2022 - 2023
• MSc in Applied Mathematics, Ecole Polytechnique, France, 2019 - 2022
• Preparatory Program MPSI/MP, Lycee Saint-louis, Paris, France, 2017 - 2019

Work Experience

• Quantitative research intern, Squarepoint Capital, London, United Kingdom, March-August 2022
• Firmware engineer intern, Ledger, Paris, France, June-September 2021
• R&D intern, Gendarmerie Elite Unit (GIGN), Versailles, France, November-April 2020

Publications

NeurIPS 2025 — Algorithm and Data Dependent Generalization Bounds for Score-Based Generative Models

Shariatian D.*, Dupuis B.*, Haddouche M.*, Durmus A.O., Simsekli U.

ICML 2025 — Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions

Shariatian D.*, Pham L.T.N.*, Ocello A., Conforti G., Durmus A.O.

ICLR 2025 — Denoising Levy Probabilistic Models (DLPM)

Shariatian D., Simsekli U., Durmus A.O.

NeurIPS 2024 — Piecewise Deterministic Generative Models

Bertazzi A., Shariatian D., Durmus A.O., Simsekli U., Moulines É.

Talks

Denoising Levy Probabilistic Model (DLPM)

February 20, 2025

Presentation at MFO, Oberwolfach, Oberwolfach, Germany

Denoising Markov Probabilistic Model (DMPM)

February 04, 2025

Presentation at INRIA Paris, Paris, France

Denoising Levy Probabilistic Model (DLPM)

January 12, 2025

Presentation at Ecole Polytechnique, Paris, France

Denoising Levy Probabilistic Model (DLPM)

July 07, 2024

Presentation at the Alan Turing Institute, London, United Kingdom

Teaching

Ecole Polytechnique - HEC — Master X-HEC Data Science and AI for Business/Finance

Ecole Polytechnique, CMAP — Numerical Analysis MAA106

Ecole Polytechnique - HEC — Master X-HEC Data Science and AI for Business/Finance

Reviewer

ICML24, NEURIPS24, AAAI25, TMLR, ICLR25, ICML25