IGNIS: A Neural Network Framework for Robust Parameter Estimation in Archimedean Copulas. - Agnideep Aich; Ashit Baran Aich; Bruce Wade (CoRR, 2025)

Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling. - Agnideep Aich; Ashit Baran Aich; Bruce Wade (CoRR, 2025)

Theoretical Foundations of the Deep Copula Classifier: A Generative Approach to Modeling Dependent Features. - Agnideep Aich; Ashit Baran Aich; Bruce Wade (CoRR, 2025)

A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study. - Agnideep Aich; Sameera Hewage; Md Monzur Murshed; Ashit Baran Aich; Amanda Mayeaux; Asim K. Dey; Kumer P. Das; Bruce Wade (CoRR, 2025)

Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting. - Agnideep Aich; Ashit Baran Aich; Dipak C. Jain (CoRR, 2025)

Bag of Coins: A Statistical Probe into Neural Confidence Structures. - Agnideep Aich; Ashit Baran Aich; Md Monzur Murshed; Sameera Hewage; Bruce Wade (CoRR, 2025)

From Sublinear to Linear: Fast Convergence in Deep Networks via Locally Polyak-Lojasiewicz Regions. - Agnideep Aich; Ashit Baran Aich; Bruce Wade (CoRR, 2025)

Measuring Sample Quality with Copula Discrepancies. - Agnideep Aich; Ashit Baran Aich; Bruce Wade (CoRR, 2025)