Ronald Katende

20 papers Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems. CoRR Ronald Katende
2026	J	`jnl`	A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning. CoRR Ronald Katende
2026	J	`jnl`	Non-asymptotic stability and consistency guarantees for physics-informed neural networks via coercive operator analysis. Commun. Nonlinear Sci. Numer. Simul. Ronald Katende
2025	J	`jnl`	A Frobenius-Optimal Projection for Enforcing Linear Conservation in Learned Dynamical Models. CoRR John M. Mango, Ronald Katende
2025	J	`jnl`	Analytic and Variational Stability of Deep Learning Systems. CoRR Ronald Katende
2025	J	`jnl`	Causal Operator Discovery in Partial Differential Equations via Counterfactual Physics-Informed Neural Networks. CoRR Ronald Katende
2025	J	`jnl`	Interpretive Efficiency: Information-Geometric Foundations of Data Usefulness. CoRR Ronald Katende
2025	J	`jnl`	Preserving Extreme Singular Values with One Oblivious Sketch. CoRR John M. Mango, Ronald Katende
2025	J	`jnl`	Stability Analysis of Physics-Informed Neural Networks via Variational Coercivity, Perturbation Bounds, and Concentration Estimates. CoRR Ronald Katende
2025	J	`jnl`	Structured Variational CoRR Ronald Katende
2025	J	`jnl`	Variational Geometric Information Bottleneck: Learning the Shape of Understanding. CoRR Ronald Katende
2025	J	`jnl`	Why Smooth Stability Assumptions Fail for ReLU Learning. CoRR Ronald Katende
2024	J	`jnl`	A Nonlinear Generalization of the Bauer-Fike Theorem and Novel Iterative Methods for Solving Nonlinear Eigenvalue Problems. CoRR Ronald Katende
2024	J	`jnl`	Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression. CoRR John M. Mango, Ronald Katende
2024	J	`jnl`	Cross-Country Comparative Analysis of Climate Resilience and Localized Mapping in Data-Sparse Regions. CoRR Ronald Katende
2024	J	`jnl`	Decentralized Neural Networks for Robust and Scalable Eigenvalue Computation. CoRR Ronald Katende
2024	J	`jnl`	Efficient Matrix Decomposition for High-Dimensional Structured Systems: Theory and Applications. CoRR Ronald Katende
2024	J	`jnl`	Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding. CoRR Ronald Katende
2024	J	`jnl`	Some Results on Neural Network Stability, Consistency, and Convergence: Insights into Non-IID Data, High-Dimensional Settings, and Physics-Informed Neural Networks. CoRR Ronald Katende, Henry Kasumba, Godwin Kakuba, John M. Mango
2024	J	`jnl`	Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models. CoRR Ronald Katende