Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.
Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials
Abstract: LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...
UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...
Abstract: Visual object tracking is a challenging computer vision task with numerous real-world applications. In this paper, we propose a simple but efficient spectral filter tracking (SFT) method ...
Two decades ago, the mathematician Moon Duchin spent her summers teaching geometry at Mathcamp, a program for mathematically talented teens. Campers contemplated notions such as how to prove whether a ...
The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...
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Graphene boosts accuracy in lithium detection, could help make reliable sensors
Researchers at the International Iberian Nanotechnology Laboratory (INL) have demonstrated that incorporating graphene can ...
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CBSE Class 10 Maths Deleted Syllabus 2025-26: Check Chapter-Wise Topics, And Exercises Removed
Access the comprehensive CBSE Class 10 Maths deleted syllabus for 2025-26. Find out which topics have been removed to streamline your study plan and excel in your exams.
Get here CBSE Maths important questions of Class 10 of Chapter-Wise for Board exam preparation. Get expert-curated questions ...
Artificial intelligence is everywhere and the music charts are no different. Here’s what you need to know about Xania Monet.
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