Nicola Bernini

# Definitions ## Samples Efficiency > Sample efficiency refers to the amount of data required for a learning system to attain any chosen target level of performance. - How much...

# High Level Analysis 

# Tasks Complexity  

# Episodic Memory 

# Problem Description GANs require solving an optimization problem which is harder than the single objective optimization problem typically observed in current ML: it is a MinMax optimization problem, so...

# Deep Learning vs Machine Learning ## Similarities - In both cases the goal is to train a **model** hence at high level it deals with the same tools: dataset,...

# RNN - The [Recurrent Neural Network](https://en.wikipedia.org/wiki/Recurrent_neural_network) is a kind of NN whose topology changes according to the specific perspective it is observed - in a *time agnostic perspective* it...

# Goal Develop a pipeline connecting - **Input**: Point Cloud as BEV RGB Map - Obtained as preprocessing - RGB means just 3 channels image, encoding: - 1) height from...

# Work Challenges ## Description 1. Design a NN able to take sparse data as input, which is difficult in general 2. Performing an adaptation of an existing network, designed...

# BEV Construction - Prior on the space with a certain regular geometry - Each cell is 8cm square - Detected Points get projected on the grid according to sensor...