Davide Nitti

About

I'm a Machine Learning researcher. I recently received a PhD in Computer Science at KU Leuven.

The main topics of my PhD are:
Probabilistic programming, Logic programming, inference in hybrid domains, temporal models (HMM, DBN), Monte-Carlo methods, Particle filtering, probabilistic planning (MDPs)

My current interests are:

• Deep Learning
  • MLP, Convolutional, Recurrent, autoencoders
  • Relational Neural Networks
  • Differentiable assembly machines (similar to Neural Turing Machines)
  • Variational inference with Neural Networks
• Reinforcement Learning
  • Deep RL
  • Hierarchical RL
  • Meta-learning
  • Policy gradient methods
  • Monte-Carlo, MCTS, UCB/UCT

Contact

davide@davidenitti.com