What Are You Looking At? Team Fight Prediction Through Player Camera. - Marko Tot; Michelangelo Conserva; Alan Pedrassoli Chitayat; Athanasios Vasileios Kokkinakis; Sagarika Patra; Simon Demediuk; Alvaro Caceres Munoz; Oluseyi Olarewaju; Marian Ursu; Ben Kirman; Jonathan Hook; Florian Block; et al. (CoG, 2021)

Submodular Kernels for Efficient Rankings. - Michelangelo Conserva; Marc Peter Deisenroth; K. S. Sesh Kumar (CoRR, 2021)

Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search. - Marko Tot; Michelangelo Conserva; Diego Perez Liebana; Sam Devlin (CoG, 2022)

Hardness in Markov Decision Processes: Theory and Practice. - Michelangelo Conserva; Paulo E. Rauber (NeurIPS, 2022)

Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits. - Aditya A. Ramesh; Paulo E. Rauber; Michelangelo Conserva; Jürgen Schmidhuber (Neural Comput., 2022)

The Graph Cut Kernel for Ranked Data. - Michelangelo Conserva; Marc Peter Deisenroth; K. S. Sesh Kumar (Trans. Mach. Learn. Res., 2022)

Posterior Sampling for Deep Reinforcement Learning. - Remo Sasso; Michelangelo Conserva; Paulo E. Rauber (ICML, 2023)

Heterogenous graph neural networks for species distribution modeling. - Lauren Harrell; Christine Kaeser-Chen; Burcu Karagol Ayan; Keith Anderson; Michelangelo Conserva; Elise Kleeman; Maxim Neumann; Matt Overlan; Melissa Chapman; Drew Purves (CoRR, 2025)

Mapping Farmed Landscapes from Remote Sensing. - Michelangelo Conserva; Alex Wilson; Charlotte Stanton; Vishal Batchu; Varun Gulshan (CoRR, 2025)