4 papers
Inverting Self-Organizing Maps: A Unified Activation-Based Framework
Alessandro Londei, Matteo Benati, Denise Lanzieri +1
Self-Organizing Maps (SOMs) provide topology-preserving projections of high-dimensional data, yet their use as generative models remains largely unexplored. We show that the activa…
First-Extinction Law for Resampling Processes
Matteo Benati, Alessandro Londei, Denise Lanzieri +1
Extinction times in resampling processes are fundamental yet often intractable, as previous formulas scale as with the number of states present in the initial probability…
Lyapunov Learning at the Onset of Chaos
Matteo Benati, Alessandro Londei, Denise Lanzieri +1
Handling regime shifts and non-stationary time series in deep learning systems presents a significant challenge. In the case of online learning, when new information is introduced,…
Dreaming Learning
Alessandro Londei, Matteo Benati, Denise Lanzieri +1
Incorporating novelties into deep learning systems remains a challenging problem. Introducing new information to a machine learning system can interfere with previously stored data…