2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling
Ferran Mazzanti, Enrique Romero
Probabilistic models based on Restricted Boltzmann Machines (RBMs) imply the evaluation of normalized Boltzmann factors, which in turn require from the evaluation of the partition…
cs.LG2019
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
David Calhas, Enrique Romero, Rui Henriques
The increasing access to brain signal data using electroencephalography creates new opportunities to study electrophysiological brain activity and perform ambulatory diagnoses of n…