2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Beyond Point Predictions: Uncertainty-Aware Satellite Poverty Mapping for Public Policy
Markus B. Pettersson, James Bailie, Mohammad Kakooei +2
Despite their critical importance for policy and research, high-resolution poverty data remain limited across much of Africa. Machine learning (ML) with earth observation (EO) imag…
cs.SE2026
Making Software Meaningful
Eagon Meng, Abutalib Namazov, Carmel Schare +2
Adopting a single measure can improve the usability, modularity and accountability of software: a commitment to explicit meaning. This entails constructing and agreeing upon a repr…
cs.SE2025★ 2 cited
What You See Is What It Does: A Structural Pattern for Legible Software
Eagon Meng, Daniel Jackson
The opportunities offered by LLM coders (and their current limitations) demand a reevaluation of how software is structured. Software today is often "illegible" - lacking a direct…