RESEARCHER PROFILE

Yann LeCun

New York University and Meta AI

Neural Networks and ApplicationsDomain Adaptation and Few-Shot LearningAdvanced Image and Video Retrieval TechniquesAdvanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

8Linked publications

255217Citations

120h-index

UnclaimedProfile status

About Yann LeCun

Yann LeCun is a researcher affiliated with New York University and Meta AI. This profile connects verified scholarly identity information and publication records from OpenAlex and DOI sources. Research areas include Neural Networks and Applications, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications, Generative Adversarial Networks and Image Synthesis.

Research publications

2026-08-20 · Nature Communications

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning

Multi-modal AI for comprehensive breast cancer prognostication

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?

World Models for Learning Dexterous Hand-Object Interactions from Human Videos

VL-JEPA: Joint Embedding Predictive Architecture for Vision-language

Chimère Ω — blueprint for a physico-cognitively inspired local-first LLM runtime

Cambrian-S: Towards Spatial Supersensing in Video

Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density