Mehdi Cherti

Postdoc, JSC, Forschungszentrum Jülich

Joined

November 2016

Names

Mehdi Cherti (Preferred)

mehdi cherti

Emails

****@gmail.com (Confirmed)

****@lal.in2p3.fr

****@fz-juelich.de (Confirmed)

Personal Links

Google Scholar

Semantic Scholar

Career & Education History

Postdoc

JSC, Forschungszentrum Jülich (fz-juelich.de)

2020 – 2028

PostDoc

Mines ParisTech (mines-paristech.fr)

2018 – 2020

PhD student

Linear accelerator Laboratory (lal.in2p3.fr)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Balázs Kégl

2014 – 2018

PhD Advisor

AKIN O KAZAKCI

2014 – 2018

Expertise

Deep Generative models

Present

Publications

Concept-Aware Batch Sampling Improves Language-Image Pretraining
Adhiraj Ghosh, Vishaal Udandarao, Thao Nguyen, Matteo Farina, Mehdi Cherti, Jenia Jitsev, Sewoong Oh, Elisa Ricci, Ludwig Schmidt, Matthias Bethge
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
OVid: Open Large-Scale Video Dataset as a Novel Source for Image-Text Data
Andreas Hochlehnert, Marianna Nezhurina, Thaddäus Wiedemer, Christoph Schuhmann, Mehdi Cherti, Romain Beaumont, Andrii Matiuk, Andrej Radonjic, Bernhard Schölkopf, Wieland Brendel, A. Sophia Koepke, Jenia Jitsev, Matthias Bethge
- Submitted to ICLR 2026
- Readers: Everyone
Detecting generalization deficits in large language and reasoning models by using natural variations in simple problems
Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev
- Accepted by TMLR
- Readers: Everyone
Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets
Marianna Nezhurina, Tomer Porian, Giovanni Puccetti, Tommie Kerssies, Romain Beaumont, Mehdi Cherti, Jenia Jitsev
- NeurIPS 2025 poster
- Readers: Everyone
Alice in Wonderland: Simple Tasks Reveal Severe Generalization and Basic Reasoning Deficits in State-Of-the-Art Large Language Models
Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev
- Submitted to ICLR 2025
- Readers: Everyone
A Practitioner's Guide to Continual Multimodal Pretraining
Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J Henaff, Samuel Albanie, Matthias Bethge, Zeynep Akata
- Continual FoMo Oral
- Readers: Everyone
Alice in Wonderland: Simple Tasks Reveal Severe Generalization and Basic Reasoning Deficits in State-Of-the-Art Large Language Models
Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev
- SciForDL Poster
- Readers: Everyone
A Practitioner's Guide to Real-World Continual Multimodal Pretraining
Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J Henaff, Samuel Albanie, Zeynep Akata, Matthias Bethge
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
DataComp: In search of the next generation of multimodal datasets
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti et al. (14 additional authors not shown)
- NeurIPS 2023 Datasets and Benchmarks Oral
- Readers: Everyone
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade W Gordon, Christoph Schuhmann, Ludwig Schmidt, Jenia Jitsev
- 28 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 11 publications

Co-Authors

View all 67 co-authors