5 papers
ScalableRAG: High-Quality RAG at Zero Ingestion Cost
Hilaf Hasson, Aditya Chakravarty, Jayant Thomas +1
Recent advances in RAG aim to optimize for performance by paying high ingestion costs for knowledge ingestion: building knowledge graphs or extracting SQL tables. In this work we s…
Spatial Uncertainty Quantification in Wildfire Forecasting for Climate-Resilient Emergency Planning
Aditya Chakravarty
Climate change is intensifying wildfire risks globally, making reliable forecasting critical for adaptation strategies. While machine learning shows promise for wildfire prediction…
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
Aditya Chakravarty
Climate change is increasingly disrupting agricultural systems, making accurate crop yield forecasting essential for food security. While deep learning models have shown promise in…
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI
Aditya Chakravarty
Diffusion models have shown remarkable flexibility for solving inverse problems without task-specific retraining. However, existing approaches such as Manifold Preserving Guided Di…
Deep Learning Models in Speech Recognition: Measuring GPU Energy Consumption, Impact of Noise and Model Quantization for Edge Deployment
Aditya Chakravarty
Recent transformer-based ASR models have achieved word-error rates (WER) below 4%, surpassing human annotator accuracy, yet they demand extensive server resources, contributing to…