Novel view synthesis (NVS) is crucial in computer vision and graphics, with wide applications in AR, VR, and autonomous driving. While 3D Gaussian Splatting (3D...
This paper is concerned with the problem of how to speed up computation for Gaussian process models trained on autocorrelated data. The Gaussian process model i...
Recent advances in reasoning techniques have substantially improved the performance of large language models (LLMs), raising expectations for their ability to p...
Debugging is one of the most time-consuming and expensive tasks in software development and circuit design. Several formula-based fault localisation (FBFL) meth...
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Test-time policy optimization enables large language models (LLMs) to adapt to distribution shifts by leveraging feedback from self-generated rollouts. However,...
Migrating a set of software variants into a software product line (SPL) is an expensive and potentially challenging endeavor. Indeed, SPL engineering can signif...
The corner shop that predicts your shopping habits better than Amazon. The local restaurant that automates its supply chain with the precision of McDonald's. Th...
This technical white paper introduces the Interactive Agents Call Tree (IACT), a computational model designed to address the limitations of static, hard-coded a...
Large language models are increasingly embedded into academic writing workflows, yet existing assistants remain external to the editor, preventing deep interact...
Recent advances in general-purpose AI systems with attention-based transformers offer a potential window into how the neocortex and cerebellum, despite their re...
The Silent Accuracy Killer Ruining Real-World ML Systems Part 2 of the ML Engineering Failure Series Most machine learning beginners obsess over model select...
