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cs.LG2025
Light-Weight Benchmarks Reveal the Hidden Hardware Cost of Zero-Shot Tabular Foundation Models
Ishaan Gangwani, Aayam Bansal
Zero-shot foundation models (FMs) promise training-free prediction on tabular data, yet their hardware footprint remains poorly characterized. We present a fully reproducible bench…
cs.LG2025
Zero-Training Temporal Drift Detection for Transformer Sentiment Models: A Comprehensive Analysis on Authentic Social Media Streams
Aayam Bansal, Ishaan Gangwani
We present a comprehensive zero-training temporal drift analysis of transformer-based sentiment models validated on authentic social media data from major real-world events. Throug…
cs.LG2025★ 1 cited
Temporal Encoding Strategies for Energy Time Series Prediction
Aayam Bansal, Keertan Balaji, Zeus Lalani
In contemporary power systems, energy consumption prediction plays a crucial role in maintaining grid stability and resource allocation enabling power companies to minimize energy…