8 citations · 9 across the 8 of their papers we have counts for
3 papers · 1 filter
CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for Quadrotors
Fabrizio Cesareo, Sebastiano Mengozzi, Nicola Mimmo +1
Deep Reinforcement Learning has demonstrated remarkable capability in quadrotor control, yet learned policies offer no guarantee of respecting safety constraints during training or…
Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction
Gregor Molan, Grafika Jati, Francesco Barchi +3
Large-scale pretrained time-series models achieve strong results through large-scale pretraining and task-agnostic representation learning, but they rely on abundant, diverse data…
CVA6-CFI: A First Glance at RISC-V Control-Flow Integrity Extensions
Simone Manoni, Emanuele Parisi, Riccardo Tedeschi +3
This work presents the first design, integration, and evaluation of the standard RISC-V extensions for Control-Flow Integrity (CFI). The Zicfiss and Zicfilp extensions aim at prote…