Preprint
Understanding the Covariance Structure of Convolutional Filters
Adversarially Robust Learning for Security-Constrained Optimal Power Flow
DC3: A LEARNING METHOD FOR OPTIMIZATION WITH HARD CONSTRAINTS
DORO: Distributional and Outlier Robust Optimization
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization
ENFORCING ROBUST CONTROL GUARANTEES WITHIN NEURAL NETWORK POLICIES
ESTIMATING LIPSCHITZ CONSTANTS OF MONOTONE DEEP EQUILIBRIUM MODELS
GRADIENT DESCENT ON NEURAL NETWORKS TYPICALLY OCCURS AT THE EDGE OF STABILITY
Joint inference and input optimization in equilibrium networks
LEARNING PERTURBATION SETS FOR ROBUST MACHINE LEARNING
MULTIPLICATIVE FILTER NETWORKS