2026 arXiv Lifting Embodied World Models for Planning and Control Alex N. Wang, Trevor Darrell, Pavel Izmailov, Yutong Bai, and Amir Bar 2026 arXiv Website 2025 ICLR PooDLe: Pooled and Dense Self-supervised Learning from Naturalistic Videos Alex N. Wang*, Christopher Hoang*, Yuwen Xiong, Yann LeCun, and Mengye Ren In International Conference on Learning Representations, 2025 arXiv Code Website 2024 CogSci Self-supervised Learning of Video Representations from a Child’s Perspective A Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, and Brenden M Lake 2024 arXiv Code 2021 NeurIPSw Studying BatchNorm Learning Rate Decay on Meta-Learning Inner-Loop Adaptation Alex N. Wang*, Gary Leung*, and Sasha Doubov* In MetaLearn Workshop, Neural Information Processing Systems, 2021 PDF ICML SketchEmbedNet: Learning Novel Concepts by Imitating Drawings Alex N. Wang*, Mengye Ren*, and Richard Zemel In Proceedings of the 38th International Conference on Machine Learning, 18–24 jul 2021 arXiv Code PDF