7 citations · 15 across the 6 of their papers we have counts for
4 papers · 1 filter
Robust Active Learning for Few-Shot Example Selection in Text-to-SQL
Arash Pourhabib
Domain-specific text-to-SQL systems ground a large language model by retrieving annotated few-shot examples, and each example needs expert-written SQL. We treat the choice of which…
Sparse Pseudo-input Local Kriging for Large Spatial Datasets with Exogenous Variables
Babak Farmanesh, Arash Pourhabib
We study large-scale spatial systems that contain exogenous variables, e.g. environmental factors that are significant predictors in spatial processes. Building predictive models f…
A Bayesian framework for functional calibration of expensive computational models through non-isometric matching
Babak Farmanesh, Arash Pourhabib, Balabhaskar Balasundaram +1
We study statistical calibration, i.e., adjusting features of a computational model that are not observable or controllable in its associated physical system. We focus on functiona…
Empirical Similarity for Absent Data Generation in Imbalanced Classification
Arash Pourhabib
When the training data in a two-class classification problem is overwhelmed by one class, most classification techniques fail to correctly identify the data points belonging to the…