About

I'm a PhD candidate (CIFRE) at Meta AI (FAIR) and Inria Grenoble (THOTH) / Université Grenoble Alpes (UGA) .
I am co-advised by Karteek Alahari (Inria) and Jakob Verbeek (Meta). I specialize in diffusion- and flow-based generative models for large-scale image and video generation.

Before my PhD, I completed the MVA master’s program in applied mathematics and machine learning, and an M.Sc.-level engineering degree (Diplôme d’ingénieur) with a major in Data and Information Sciences – Mathematics and Data Science (SDI–MDS) at CentraleSupélec .

My research focuses on developing training and sampling algorithms to obtain more efficient, flexible and controllable generative models, with applications on image, video and multimodal generation. I expect to graduate around March–April 2026.

⚠️ Open to Research Scientist positions in generative modeling and related topics starting Spring/Summer 2026.

Education

  • PhD (CIFRE), Computer Science
    Meta AI (FAIR) & Inria Grenoble / Université Grenoble Alpes 2023 – present (expected Mar–Apr 2026)
  • M2 – Mathematics, Vision, Learning (MVA)
    ENS Paris-Saclay 2021 – 2022
  • M.Sc.-level engineering degree (DiplĂ´me d’ingĂ©nieur)
    CentraleSupélec – major in Data and Information Sciences – Mathematics and Data Science (SDI–MDS) 2018 – 2022

Selected Research

  • Flowception: Temporally Expansive Flow Matching for Video Generation FIRST AUTHOR
    Tariq Berrada Ifriqi, John Nguyen, Karteek Alahari, Jakob Verbeek, Ricky T. Q. Chen Preprint. 2025 arxiv | site
  • OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows John Nguyen, Marton Havasi, Tariq Berrada, Luke Zettlemoyer, Ricky T. Q. Chen Preprint. 2025 arxiv | site
  • Entropy Rectifying Guidance for Diffusion and Flow Models FIRST AUTHOR
    Tariq Berrada, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari Advances in Neural Information Processing Systems (NeurIPS). 2025 arxiv
  • Boosting Latent Diffusion with Perceptual Objectives FIRST AUTHOR
    Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek International Conference on Learning Representations (ICLR). 2025 arxiv
  • EvalGIM: A Library for Evaluating Generative Image Models Melissa Hall, Oscar Mañas, Reyhane Askari-Hemmat, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada Ifriqi, Marton Havasi, Yohann Benchetrit, Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano Preprint. 2025 arxiv | code
  • On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models FIRST AUTHOR
    Tariq Berrada Ifriqi, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal Advances in Neural Information Processing Systems (NeurIPS). 2024 arxiv
  • Unlocking Pre-trained Image Backbones for Semantic Image Synthesis FIRST AUTHOR
    Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024 arxiv
  • Guided Distillation for Semi-supervised Instance Segmentation FIRST AUTHOR
    Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024 arxiv | code