13 citations · 36 across the 5 of their papers we have counts for
3 papers · 1 filter
CLOVER : Probabilistic Forecasting with Coherent Learning Objective Reparameterization
Kin G. Olivares, Geoffrey Négiar, Ruijun Ma +3
Obtaining accurate probabilistic forecasts is an operational challenge in many applications, such as energy management, climate forecasting, supply chain planning, and resource all…
Learning differentiable solvers for systems with hard constraints
Geoffrey Négiar, Michael W. Mahoney, Aditi S. Krishnapriyan
We introduce a practical method to enforce partial differential equation (PDE) constraints for functions defined by neural networks (NNs), with a high degree of accuracy and up to…
Lifted Neural Networks
Armin Askari, Geoffrey Negiar, Rajiv Sambharya +1
We describe a novel family of models of multi- layer feedforward neural networks in which the activation functions are encoded via penalties in the training problem. Our approach i…