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math.OC2026
Continuous-time analysis and algorithms for linear and convex quadratic programs via exactly solvable differential inclusions
Gabriel P. Langlois, Akwum Onwunta, Jérôme Darbon
Linear and convex quadratic programs are fundamental problems in optimization. While many methods have been developed for solving these programs in large-scale applications, to our…
cs.LG2026
S-PINN: Stochastic Separable Physics-Informed Neural Networks
Zhendong Li, Akwum Onwunta
Uncertainty quantification (UQ) for random partial differential equations (PDEs) is ubiquitous in computational science and engineering. However, classical spectral solvers for thi…
cs.LG2026
Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis
Amjad Seyedi, Lifang He, Songlin Zhao +2
Multimodal brain network analysis faces a persistent trade-off between predictive accuracy and interpretability. Deep neural networks achieve high accuracy but behave as black boxe…