activity
20202026
most citedTowards Automated Satellite Conjunction Management with Bayesian Deep Learning

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Skillful forecasting of offshore winds from satellite scatterometer constellations

Francesco Pinto, Luca Lanzilao, Paco Lopez Dekker +1

Accurate intraday forecasts of offshore wind are becoming increasingly important for power system operation and the integration of growing shares of offshore wind energy. Operation…

cs.AI2025

Do Role-Playing Agents Practice What They Preach? Belief-Behavior Consistency in LLM-Based Simulations of Human Trust

Amogh Mannekote, Adam Davies, Guohao Li +4

As LLMs are increasingly studied as role-playing agents to generate synthetic data for human behavioral research, ensuring that their outputs remain coherent with their assigned ro…

cs.LG2025

Where You Place the Norm Matters: From Prejudiced to Neutral Initializations

Emanuele Francazi, Francesco Pinto, Aurelien Lucchi +1

Normalization layers were introduced to stabilize and accelerate training, yet their influence is critical already at initialization, where they shape signal propagation and output…

cs.LG2020★ 3 cited

Towards Automated Satellite Conjunction Management with Bayesian Deep Learning

Francesco Pinto, Giacomo Acciarini, Sascha Metz +7

After decades of space travel, low Earth orbit is a junkyard of discarded rocket bodies, dead satellites, and millions of pieces of debris from collisions and explosions. Objects i…

cs.LG2020★ 1 cited

Spacecraft Collision Risk Assessment with Probabilistic Programming

Giacomo Acciarini, Francesco Pinto, Sascha Metz +7

Over 34,000 objects bigger than 10 cm in length are known to orbit Earth. Among them, only a small percentage are active satellites, while the rest of the population is made of dea…