8 citations · 17 across the 16 of their papers we have counts for
7 papers · 1 filter
An Energy-Based Mechanism for Compositional Behavior
Francesca Rossi, Veronica Centorrino, Francesco Bullo +1
Flexible intelligence relies on the ability to reuse previously acquired behaviors and combine them differently as circumstances change. In biological and artificial systems, this…
LogicGuard: Improving Embodied LLM agents through Temporal Logic based Critics
Anand Gokhale, Vaibhav Srivastava, Francesco Bullo
Large language models (LLMs) have shown promise in zero-shot and single step reasoning and decision making problems, but in long horizon sequential planning tasks, their errors com…
Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales
Veronica Centorrino, Francesco Bullo, Giovanni Russo
A recent breakthrough in biologically-plausible normative frameworks for dimensionality reduction is based upon the similarity matching cost function and the low-rank matrix approx…
Sampled-data Systems: Stability, Contractivity and Single-iteration Suboptimal MPC
Yiting Chen, Francesco Bullo, Emiliano Dall'Anese
This paper analyzes the stability of interconnected continuous-time (CT) and discrete-time (DT) systems coupled through sampling and zero-order hold mechanisms. The DT system updat…
Contractivity Analysis and Control Design for Lur'e Systems: Lipschitz, Incrementally Sector Bounded, and Monotone Nonlinearities
Ryotaro Shima, Alexander Davydov, Francesco Bullo
In this paper, we study the contractivity of Lur'e dynamical systems whose nonlinearity is either Lipschitz, incrementally sector bounded, or monotone. We consider both the discret…
Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs
Abed Kareem Musaffar, Anand Gokhale, Sirui Zeng +4
As artificial intelligence (AI) assistants become more widely adopted in safety-critical domains, it becomes important to develop safeguards against potential failures or adversari…
Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization
Veronica Centorrino, Francesca Rossi, Francesco Bullo +1
This paper studies equality-constrained composite minimization problems. This class of problems, capturing regularization terms and inequality constraints, naturally arises in a wi…