Agnideep Aich

According to our database1, Agnideep Aich authored at least 12 papers in 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence.
CoRR, October, 2025

The Minimax Lower Bound of Kernel Stein Discrepancy Estimation.
CoRR, October, 2025

Measuring Sample Quality with Copula Discrepancies.
CoRR, July, 2025

From Sublinear to Linear: Fast Convergence in Deep Networks via Locally Polyak-Lojasiewicz Regions.
CoRR, July, 2025

Bag of Coins: A Statistical Probe into Neural Confidence Structures.
CoRR, July, 2025

Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting.
CoRR, July, 2025

CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction.
CoRR, June, 2025

A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study.
CoRR, May, 2025

Theoretical Foundations of the Deep Copula Classifier: A Generative Approach to Modeling Dependent Features.
CoRR, May, 2025

Can Copulas Be Used for Feature Selection? A Machine Learning Study on Diabetes Risk Prediction.
CoRR, May, 2025

Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling.
CoRR, May, 2025

IGNIS: A Neural Network Framework for Robust Parameter Estimation in Archimedean Copulas.
CoRR, May, 2025


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