121 citations · 265 across the 19 of their papers we have counts for
4 papers · 1 filter
Physics-Informed Graph Neural Networks for Robust AC-Optimal Power Flow
Anna Varbella, Damien Briens, Blazhe Gjorgiev +3
We present PINCO, an unsupervised learning framework that integrates Graph Neural Networks with physics-informed neural networks for AC optimal power flow (AC-OPF) solutions. Unlik…
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data
Sheng Chai, Gus Chadney, Charlot Avery +3
Access to granular demand data is essential for the net zero transition; it allows for accurate profiling and active demand management as our reliance on variable renewable generat…
Improving Policy Optimization via -Retrain
Luca Marzari, Priya L. Donti, Changliu Liu +1
We present -retrain, an exploration strategy encouraging a behavioral preference while optimizing policies with monotonic improvement guarantees. To this end, we intro…
Application-Driven Innovation in Machine Learning
David Rolnick, Alan Aspuru-Guzik, Sara Beery +8
In this position paper, we argue that application-driven research has been systemically under-valued in the machine learning community. As applications of machine learning prolifer…