Extremely happy and excited to share that our paper “Graph Mixture Density Networks” has been accepted for publication at ICML 2021! Huge congrats to Federico Errica for his second ICML paper and to Alessio Micheli who shares with me Federico’s …
Another big graduation day today, with plenty of contributions from our group! Congratulations to all students for their achievement. Check them out below. Pleanty of cool stuff including distillation-based continual learning, medical image analysis and generation, reinforcement learning and quantum …
Big graduation day in the ML family with 3 newly graduated students (two cum laude!) on topics ranging from neuro-probabilistic models for graphs, interpretability of graph neural networks for chemistry and cognitive architectures for creativity. Congratulations! Daniele Arioli, CognAC: a …
The 2019/20 edition of the ISPR course will start with the first lecture on See you there!
Congratulations (with some delay) to my students who graduated with two theses on the LISTIT project. Valerio De Caro extended the Hidden Markov Tree Network and developed an efficient implementation of the model. Michele Colombo developed a Conditional Variational Autoencoder …
Just finished presenting our new paper @ESANN2016 Check-it out at ESANN website as it will soon be out in free electonic version.