2 papers
cs.LG2021
Multimodal Meta-Learning for Time Series Regression
Sebastian Pineda Arango, Felix Heinrich, Kiran Madhusudhanan +1
Recent work has shown the efficiency of deep learning models such as Fully Convolutional Networks (FCN) or Recurrent Neural Networks (RNN) to deal with Time Series Regression (TSR)…
cs.LG2020
Improving Sample Efficiency with Normalized RBF Kernels
Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu +3
In deep learning models, learning more with less data is becoming more important. This paper explores how neural networks with normalized Radial Basis Function (RBF) kernels can be…