2 papers
cs.LG2023
DBsurf: A Discrepancy Based Method for Discrete Stochastic Gradient Estimation
Pau Mulet Arabi, Alec Flowers, Lukas Mauch +1
Computing gradients of an expectation with respect to the distributional parameters of a discrete distribution is a problem arising in many fields of science and engineering. Typic…
cs.LG2023
Efficient Training of Deep Equilibrium Models
Bac Nguyen, Lukas Mauch
Deep equilibrium models (DEQs) have proven to be very powerful for learning data representations. The idea is to replace traditional (explicit) feedforward neural networks with an…