Gouranga Bala — accepted AI-conference papers

2026

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)

Pirzada Suhail, Rehna Afroz Shaik, Gouranga Bala, Amit Sethi

AAAI 2026technical

Out-of-distribution (OOD) detection and uncertainty estimation (UE) are critical components for building safe machine learning systems. In this work, we propose a novel framework that combines network inversion with classifier training to simultaneously address both OOD detection and uncertainty est

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2026

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)

Gouranga Bala, Abhimanyu Chauhan, Amit Sethi

AAAI 2026technical

Reliable uncertainty quantification (UQ) is crucial for deploying deep learning models in safety-critical domains. Existing UQ methods often either rely on multi-pass inference, which increases computational cost, or restrict expressiveness by using only final-layer embeddings. In this work, we prop

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