2026
DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
ICML 2026poster
Many learning tasks in science and engineering are characterized by sparse datasets, which limits the effectiveness of purely data-driven approaches. At the same time, these problems are often accompanied by rich domain knowledge derived from physical laws, operational requirements, and expert heuri…