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cs.LG2026★ 1 cited
The Kernel Manifold: A Geometric Approach to Gaussian Process Model Selection
Md Shafiqul Islam, Shakti Prasad Padhy, Douglas Allaire +1
Gaussian Process (GP) regression is a powerful nonparametric Bayesian framework, but its performance depends critically on the choice of covariance kernel. Selecting an appropriate…
cs.LG2026
DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery
Divyanshu Singh, Doguhan Sarıtürk, Cameron Lea +3
The acceleration of materials discovery requires digital platforms that go beyond data repositories to embed learning, optimization, and decision-making directly into research work…