Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
AlphaGalileo

A survey of dynamic graph neural networks

Scholars deliver the first systematic survey of Dynamic GNNs, unifying continuous- and discrete-time models, benchmarking ...

Swinging abyss: Oxygen isotope analysis shows less dynamic Antarctic ice sheet in Oligocene period

Oxygen isotopes data enable researchers to look far back into the geologic past and reconstruct the climate of the past. In ...

Vibrant’s New Title Empowers Emerging Developers With the Foundations of Efficient, Real-World Programming

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...
IEEE

Dynamic Graph Transformer for Brain Disorder Diagnosis

Abstract: Dynamic brain networks play a pivotal role in diagnosing brain disorders by capturing temporal changes in brain activity and connectivity. Previous methods often rely on sliding-window ...
IEEE

Dynamic Graph Regularized Broad Learning With Marginal Fisher Representation for Noisy Data Classification

Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...
GitHub

Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding

@inproceedings{steinke2025curbosg, author={Steinke, Tim and Büchner, Martin and Vödisch, Niclas and Valada, Abhinav}, booktitle={2025 IEEE/RSJ International Conference on Intelligent Robots and ...