2026
Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
ICLR 2026poster
Normative and task-driven theories offer powerful top-down explanations for biological systems, yet the goals of quantitatively arbitrating between competing theories, and utilizing them as inductive biases to improve data-driven fits of real biological datasets are prohibitively laborious, and ofte…