19 citations · 20 across the 4 of their papers we have counts for
4 papers
Reinforcement learning
Sarod Yatawatta
Observing celestial objects and advancing our scientific knowledge about them involves tedious planning, scheduling, data collection and data post-processing. Many of these operati…
SuperCoder: Program Learning Under Noisy Conditions From Superposition of States
Ali Davody, Mahmoud Safari, Răzvan V. Florian
We propose a new method of program learning in a Domain Specific Language (DSL) which is based on gradient descent with no direct search. The first component of our method is a pro…
Training highly effective connectivities within neural networks with randomly initialized, fixed weights
Cristian Ivan, Razvan Florian
We present some novel, straightforward methods for training the connection graph of a randomly initialized neural network without training the weights. These methods do not use hyp…
A new class of metrics for spike trains
Cătălin V. Rusu, Răzvan V. Florian
The distance between a pair of spike trains, quantifying the differences between them, can be measured using various metrics. Here we introduce a new class of spike train metrics,…