Ronald Katende

According to our database, Ronald Katende authored at least 20 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of six.

2026

A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems.

Ronald Katende

CoRR, February, 2026

A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning.

Ronald Katende

CoRR, February, 2026

Non-asymptotic stability and consistency guarantees for physics-informed neural networks via coercive operator analysis.

Ronald Katende

Commun. Nonlinear Sci. Numer. Simul., 2026

2025

A Frobenius-Optimal Projection for Enforcing Linear Conservation in Learned Dynamical Models.

John M. Mango, Ronald Katende

CoRR, December, 2025

Why Smooth Stability Assumptions Fail for ReLU Learning.

Ronald Katende

CoRR, December, 2025

Analytic and Variational Stability of Deep Learning Systems.

Ronald Katende

CoRR, December, 2025

Interpretive Efficiency: Information-Geometric Foundations of Data Usefulness.

Ronald Katende

CoRR, December, 2025

Preserving Extreme Singular Values with One Oblivious Sketch.

John M. Mango, Ronald Katende

CoRR, November, 2025

Variational Geometric Information Bottleneck: Learning the Shape of Understanding.

Ronald Katende

CoRR, November, 2025

Causal Operator Discovery in Partial Differential Equations via Counterfactual Physics-Informed Neural Networks.

Ronald Katende

CoRR, June, 2025

Stability Analysis of Physics-Informed Neural Networks via Variational Coercivity, Perturbation Bounds, and Concentration Estimates.

Ronald Katende

CoRR, June, 2025

Structured Variational <i>D</i>-Decomposition for Accurate and Stable Low-Rank Approximation.

Ronald Katende

CoRR, June, 2025

2024

Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models.

Ronald Katende

CoRR, 2024

A Nonlinear Generalization of the Bauer-Fike Theorem and Novel Iterative Methods for Solving Nonlinear Eigenvalue Problems.

Ronald Katende

CoRR, 2024

Cross-Country Comparative Analysis of Climate Resilience and Localized Mapping in Data-Sparse Regions.

Ronald Katende

CoRR, 2024

Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding.

Ronald Katende

CoRR, 2024

Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression.

John M. Mango, Ronald Katende

CoRR, 2024

Decentralized Neural Networks for Robust and Scalable Eigenvalue Computation.

Ronald Katende

CoRR, 2024

Efficient Matrix Decomposition for High-Dimensional Structured Systems: Theory and Applications.

Ronald Katende

CoRR, 2024

Some Results on Neural Network Stability, Consistency, and Convergence: Insights into Non-IID Data, High-Dimensional Settings, and Physics-Informed Neural Networks.

Ronald Katende, Henry Kasumba, Godwin Kakuba, John M. Mango

CoRR, 2024