As we see this through Daniel’s eyes, implementation details regarding addressing often reveal fundamental design constraints ...

Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?

The Fisher information imposes a fundamental limit on the precision with which an unknown parameter can be estimated from noisy data, as Dorian Bouchet explains.

Former Arsenal striker Thierry Henry has offered his view on the Alexander Isak transfer saga this summer. Isak has been left out of Newcastle's opening two Premier League matches of the 2025/26 ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...

We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...

Abstract: A novel neural network called the isomorphic mesh generator (iMG) is proposed to generate isomorphic meshes from point clouds containing noise and missing parts. Isomorphic meshes of ...

Official PyTorch implementation of "PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation". This work has been accepted to CVPR 2024. Abstract: Existing point cloud ...

Abstract: This paper introduces LAMM, an open-source framework for large-scale multi-session 3D LiDAR point cloud map merging. LAMM can automatically integrate sub-maps from multiple agents carrying ...

This is the official implementation of "InfoCons: Identifying Interpretable Critical Concepts In Point Clouds via Information Theory", accepted at ICML 2025. 📒 Abstract: InfoCons – an ...