1 citations · 1 across the 3 of their papers we have counts for
3 papers
Scaling Inherently Interpretable Language Models
Guide Labs Team, Andreas Madsen, Aya Abdelsalam Ismail +7
Interpretability is often treated as a tax on capability: language models are trained as opaque systems, then explained after the fact, with methods whose reliability is difficult…
Physics-guided spatiotemporal neural models for fuel density prediction
Tolga Caglar, Jaynil Jaiswal, Saqib Azim +3
This paper presents a physics-guided machine learning (PGML) framework for fuel density prediction, integrating physics constraints and domain knowledge into deep learning models t…
Indoor Distance Estimation using LSTMs over WLAN Network
Pranav Sankhe, Saqib Azim, Sachin Goyal +3
The Global Navigation Satellite Systems (GNSS) like GPS suffer from accuracy degradation and are almost unavailable in indoor environments. Indoor positioning systems (IPS) based o…