Agus Sudjianto

University of North Carolina at Charlotte — United States

Computer Science · Physical Sciences

29h-index5.6kcitations144works0.32yr avg
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Research Topics

Advanced Multi-Objective Optimization Algorithms(32), Probabilistic and Robust Engineering Design(27), Optimal Experimental Design Methods(24), Explainable Artificial Intelligence (XAI)(24), Neural Networks and Applications(22)

Publications144 total

BLADE: Bivector-Driven Logical Adaptive Decoding
SSRN Electronic Journal·2026Open Access
Geometric Portfolio Diversification: Wedge Volume, Regime Detection and the Geometric Beta Strategy
SSRN Electronic Journal·2026Open Access
The Geometry of Grounding: Detecting, Diagnosing and Controlling Context Influence in Large Language Models
SSRN Electronic Journal·2026Open Access
Orthogonality Blindness: Why Language Models Can Explain Logic They Cannot Compute
SSRN Electronic Journal·2026Open Access
Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysis
arXiv (Cornell University)·2025Open Access
Decomposing Global AUC into Cluster-Level Contributions for Localized Model Diagnostics
arXiv (Cornell University)·2025Open Access
A Unified Perspective on Embeddings: From Classical Statistics to Modern Machine Learning
SSRN Electronic Journal·2025· 1 citedOpen Access
Knowledge Graph as Guardrails: Achieving Conceptually Sound LLM Complaint Classification Without Fine-Tuning
SSRN Electronic Journal·2025Open Access
Scaling Semantic Divergence Metrics: A Random Forest Enhancement for Practical Deployment
SSRN Electronic Journal·2025Open Access
An Information-Theoretic Framework for Credit Risk Modeling: Unifying Industry Practice with Statistical Theory for Fair and Interpretable Scorecards
SSRN Electronic Journal·2025Open Access
Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysis
SSRN Electronic Journal·2025Open Access
Theoretical Foundations of Algorithmic Fairness: A Unified Framework Through Pinsker's Inequality
SSRN Electronic Journal·2025Open Access
Human-Calibrated Automated Testing and Validation of Generative Language Models: An Overview
SSRN Electronic Journal·2025· 1 citedOpen Access
Decomposing Global AUC into Cluster-Level Contributions for Localized Model Diagnostics
SSRN Electronic Journal·2025Open Access
Escaping the Autoencoder Trap: Grassmannian Tangent-Space Regularization for Tail Coverage
SSRN Electronic Journal·2025Open Access
Interpretable Machine Learning Based on Functional ANOVA Framework: Algorithms and Comparisons
Applied Stochastic Models in Business and Industry·2025· 2 cited
From Classical ANOVA to Gradient Boosted Trees: A Functional ANOVA Perspective on Inherently Interpretable Models
SSRN Electronic Journal·2025Open Access
Human-Calibrated Automated Testing and Validation of Generative Language Models
arXiv (Cornell University)·2024· 2 citedOpen Access
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations
arXiv (Cornell University)·2024Open Access
Inherently Interpretable Tree Ensemble Learning
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Wei Chen(12), Ruichen Jin(8), Xiaoping Du(7), Aijun Zhang(5), Zebin Yang(4), Vijayan N. Nair(4), Gary S. Wasserman(4), Huibin Liu(3), Remco Chang(3), Mohammad Ghoniem(3), Robert Kosara(3), William Ribarsky(3), Jing Yang(3), Evan A. Suma(3), Caroline Ziemkiewicz(3), Daniel Kern(3), V. Roshan Joseph(2), Wei Chen(2), Henk Jan Wassenaar(2), Jie Cheng(2)