5 papers
KL Divergence Between Gaussians: A Step-by-Step Derivation for the Variational Autoencoder Objective
Andrés Muñoz, Rodrigo Ramele
Kullback-Leibler (KL) divergence is a fundamental concept in information theory that quantifies the discrepancy between two probability distributions. In the context of Variational…
Black Box Meta-Learning Intrinsic Rewards
Octavio Pappalardo, Rodrigo Ramele, Juan Miguel Santos
The broader application of reinforcement learning (RL) is limited by challenges including data efficiency, generalization capability, and ability to learn in sparse-reward environm…
A Strong Inductive Bias: Gzip for binary image classification
Marco Scilipoti, Marina Fuster, Rodrigo Ramele
Deep learning networks have become the de-facto standard in Computer Vision for industry and research. However, recent developments in their cousin, Natural Language Processing (NL…
Equilivest: A Robotic Vest to aid in Post-Stroke Dynamic Balance Rehabilitation
Franco Paviotti, Esteban Buniak, Rodrigo Ramele +2
Stroke is a medical condition that can affect motor function, particularly dynamic balance. Biofeedback can aid in rehabilitation procedures which help patients to regain lost moto…
EPOC Emotiv EEG Basics
Rodrigo Ramele, Ana Julia Villar, Juan Miguel Santos
This document provides some basic guidance to start working with the EPOC Emotiv neuroheadset device and describes how to use it to perform basic Brain-Computer Interface (BCI) res…