Adaptive Tensor Learning with Tensor Networks. - Meraj Hashemizadeh; Michelle Liu; Jacob Miller 003; Guillaume Rabusseau (CoRR, 2020)

Balancing Act: Constraining Disparate Impact in Sparse Models. - Meraj Hashemizadeh; Juan Ramirez; Rohan Sukumaran; Golnoosh Farnadi; Simon Lacoste-Julien; Jose Gallego-Posada (ICLR, 2024)

Feasible Learning. - Juan Ramirez; Ignacio Hounie; Juan Elenter; Jose Gallego-Posada; Meraj Hashemizadeh; Alejandro Ribeiro; Simon Lacoste-Julien (AISTATS, 2025)

Cooper: A Library for Constrained Optimization in Deep Learning. - Jose Gallego-Posada; Juan Ramirez; Meraj Hashemizadeh; Simon Lacoste-Julien (CoRR, 2025)

Position: Adopt Constraints Over Penalties in Deep Learning. - Juan Ramirez; Meraj Hashemizadeh; Simon Lacoste-Julien (CoRR, 2025)