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Agency for Science, Technology and Research (A*STAR)
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Estimating integrals of black-box, high-dimensional functions, from expectations and kernel mean embeddings to the softmax kernel in self-attention, is a basic subroutine in machine learning. Rank-1 lattice rules suit this setting: they query the integrand only at a fixed point set and need no gradients. When the $n$ p...
This work proposes an unsupervised PDE-based finetuning framework that eliminates the need for ground-truth solutions, and introduces NSLoRA, a Newton-Schulz orthogonalized variant that rebalances adaptation.
Long-horizon web agents frequently fail without knowing where or why execution broke down. This issue is particularly pronounced in skill-based agentic web systems, where failures arise within composite skills whose internal decision processes are not directly traceable, making precise diagnosis and repair especially d...
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