3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi +2
The performance of trained neural networks is robust to harsh levels of pruning. Coupled with the ever-growing size of deep learning models, this observation has motivated extensiv…
cs.LG2022★ 2 cited
Lonie: Compressing COINs with L-constraints
Juan Ramirez, Jose Gallego-Posada
Advances in Implicit Neural Representations (INR) have motivated research on domain-agnostic compression techniques. These methods train a neural network to approximate an object,…