Mido Assran

Career

Assran completed a PhD in electrical and computer engineering at McGill University and Mila, supported by a Vanier Scholarship, with earlier work on parallelizing deep reinforcement learning and large-scale numerical optimization. Assran then worked as a research scientist in Meta FAIR on self-supervised learning from video for reasoning and planning in the physical world.²¹

Assran's site now describes Assran as a scientist and member of technical staff on the founding team of Advanced Machine Intelligence (AMI). At Meta, Assran was also program lead of the Meta AI Mentorship Program for doctoral students.¹

JEPA research

Assran was first author of I-JEPA (January 2023), which learns image representations by predicting in latent space, and co-authored V-JEPA (February 2024), with Adrien Bardes as first author. Assran also co-authored DINOv2 and work on learning and leveraging world models in visual representation learning (ICML 2024).³⁵¹

Assran is first author of V-JEPA 2 (June 2025), on self-supervised video models for understanding, prediction and planning, and a co-author of V-JEPA 2.1 (March 2026), which targets dense features in video self-supervised learning.⁴⁶

Work and contributions

• V-JEPA 2 ViT-g/16 (384 px) Open weights

  First author of "V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning" (2025), the paper behind the V-JEPA 2 model family.⁴²¹

• V-JEPA 2.1 ViT-G/16 (384 px) Open weights

  Co-author of "V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning" (2026), which follows V-JEPA 2.⁶

• I-JEPA Published research

  First author of "Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture" (CVPR 2023).³¹

Timeline

1. Jan 2023Posted I-JEPA, joint-embedding predictive self-supervised learning from images, as first author.³
2. Feb 2024Co-authored V-JEPA, revisiting feature prediction for visual representations from video.⁵
3. Jun 2025Posted V-JEPA 2 as first author.⁴
4. Mar 2026Co-authored V-JEPA 2.1 on dense features in video self-supervised learning.⁶

Other documented roles

Roles the sources document that are not confirmed as current.

• Research Scientist, Fundamental AI Research (FAIR), Meta¹²

Honors and recognition

• Vanier Scholarship · Vanier Canada Graduate Scholarships program¹

Where they work

• Advanced Machine Intelligence 3 people in the wiki

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