3 papers
cs.AI2025
Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization
Noé Lallouet, Tristan Cazenave, Cyrille Enderli
We introduce Pareto-NRPA, a new Monte-Carlo algorithm designed for multi-objective optimization problems over discrete search spaces. Extending the Nested Rollout Policy Adaptation…
eess.SP2025
Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search
Noé Lallouet, Tristan Cazenave, Cyrille Enderli +1
Recent research works establish deep neural networks as high performing tools for radar target detection, especially on challenging environments (presence of clutter or interferenc…
cs.ET2025
Quantum Computing for Partition Function Estimation of a Markov Random Field in a Radar Anomaly Detection Problem
Timothe Presles, Cyrille Enderli, Gilles Burel +1
In probability theory, the partition function is a factor used to reduce any probability function to a density function with total probability of one. Among other statistical model…