Lorenzo Servadei
3 papers in the PaperMetrix corpus
Papers by this author
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Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
2022
Nowadays, Deep Learning (DL) methods often overcome the limitations of traditional signal processing approaches. Nevertheless, DL methods are barely applied in real-life applications. This is mainly due to limited robustness and distributional shift between training …
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Locality-aware Surrogates for Gradient-based Black-box Optimization
2025 · arXiv (Cornell University)
In physics and engineering, many processes are modeled using non-differentiable black-box simulators, making the optimization of such functions particularly challenging. To address such cases, inspired by the Gradient Theorem, we propose locality-aware surrogate models for …
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Schemato – An LLM for Netlist-to-Schematic Conversion
2025
Machine learning models are advancing circuit design, particularly in analog circuits. They typically generate netlists that lack human interpretability. This is a problem as human designers heavily rely on the interpretability of circuit diagrams or …