Daya Kumar — accepted AI-conference papers

2026

NeurOCNN: A Neural-Operator-Based Model for Physiological Time Series

Daya Kumar, Uday Devulapalli, Aarat Satsangi, Apurva Narayan

ICML 2026poster

Neural operators have become a central tool in scientific machine learning for learning discretization-consistent solution operators, achieving strong results on partial differential equation (PDE) benchmarks. Physiological time series, however, are highly nonstationary and dominated by localized tr…

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2024

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)

Daya Kumar, Abhijith Sharma, Apurva Narayan

AAAI 2024technical

Convolutional neural networks (CNNs) are being increasingly adopted in medical imaging. However, in the race for developing accurate models, their robustness is often overlooked. This elicits a significant concern given the safety-critical nature of the healthcare system. Here, we highlight the vuln…

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