Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
One-Shot Localisation of the Global Minimum of a Noisy One-Dimensional Function: An Iterative Neural Minimizer Compared with Set Transformers and Classical Estimators
Qusay Muzaffar, David Levin, Michael Werman
We study a passive form of global optimisation: from twenty noisy samples of an unknown one-dimensional function, predict where its global minimum lies, with no further queries. We…
cs.LG2024
The Fibonacci Network: A Simple Alternative for Positional Encoding
Yair Bleiberg, Michael Werman
Coordinate-based Multi-Layer Perceptrons (MLPs) are known to have difficulty reconstructing high frequencies of the training data. A common solution to this problem is Positional E…