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Author

Aditya Sharma

2 papers indexed here

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Conference Sep 2026

A Conditional Denoising Diffusion Probabilistic Framework for Synthetic Data Augmentation for Thoracic Disease Classification

Thoracic disease localization and classification using deep learning models on chest X-rays are limited due to a.) imbalanced medical datasets, b.) severe overfitting, and c.) poor generalization on unseen data. This paper proposes a two-stage training pipeline based on a Conditional Denoising Diffusion Probabilistic M...

Aditya Sharma, Pushpendra Tripathi, Vyomika Singh et al. · 0 citations
Conference Sep 2026

Quantization-Induced Accuracy Degradation in Small Language Models: A Parametric Scaling Analysis

Post-Training Quantization (PTQ) enables the deployment of large language models (LLMs) on resourceconstrained edge devices, yet the accuracy-efficiency trade-off for Small Language Models (SLMs, 3 B parameters) remains poorly characterized. In this study, we present a systematic empirical study of quantization effects...

Pushpendra Tripathi, Aditya Sharma, Himani Sharma et al. · 0 citations

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