Agnideep Aich

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study. CoRR Agnideep Aich, Sameera Hewage, Md Monzur Murshed, Ashit Baran Aich, Amanda Mayeaux, Asim K. Dey, Kumer P. Das, Bruce Wade
2025	J	`jnl`	Bag of Coins: A Statistical Probe into Neural Confidence Structures. CoRR Agnideep Aich, Ashit Baran Aich, Md Monzur Murshed, Sameera Hewage, Bruce Wade
2025	J	`jnl`	Can Copulas Be Used for Feature Selection? A Machine Learning Study on Diabetes Risk Prediction. CoRR Agnideep Aich, Md Monzur Murshed, Amanda Mayeaux, Sameera Hewage
2025	J	`jnl`	Convergence guarantees for gradient descent in deep neural networks with non-convex loss functions. Int. J. Comput. Math. Agnideep Aich, Ashit Baran Aich, Bruce Wade
2025	J	`jnl`	Copula Based Fusion of Clinical and Genomic Machine Learning Risk Scores for Breast Cancer Risk Stratification. CoRR Agnideep Aich, Sameera Hewage, Md Monzur Murshed
2025	J	`jnl`	Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence. CoRR Agnideep Aich, Ashit Baran Aich
2025	J	`jnl`	CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction. CoRR Agnideep Aich, Md Monzur Murshed, Sameera Hewage, Amanda Mayeaux
2025	J	`jnl`	From Sublinear to Linear: Fast Convergence in Deep Networks via Locally Polyak-Lojasiewicz Regions. CoRR Agnideep Aich, Ashit Baran Aich, Bruce Wade
2025	J	`jnl`	IGNIS: A Neural Network Framework for Robust Parameter Estimation in Archimedean Copulas. CoRR Agnideep Aich, Ashit Baran Aich, Bruce Wade
2025	J	`jnl`	Measuring Sample Quality with Copula Discrepancies. CoRR Agnideep Aich, Ashit Baran Aich, Bruce Wade
2025	J	`jnl`	Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling. CoRR Agnideep Aich, Ashit Baran Aich, Bruce Wade
2025	J	`jnl`	Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting. CoRR Agnideep Aich, Ashit Baran Aich, Dipak C. Jain
2025	J	`jnl`	The Minimax Lower Bound of Kernel Stein Discrepancy Estimation. CoRR Jose Cribeiro-Ramallo, Agnideep Aich, Florian Kalinke, Ashit Baran Aich, Zoltán Szabó
2025	J	`jnl`	Theoretical Foundations of the Deep Copula Classifier: A Generative Approach to Modeling Dependent Features. CoRR Agnideep Aich, Ashit Baran Aich, Bruce Wade