20 results for “controllability”
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The paper presents CONTACTMIMIC, a learning framework that tracks explicit part-level binary contact commands alongside keypoint trajectories for object interaction tasks.
Vedant Shah, Onkar Susladkar, Tushar Prakash, Kiet Nguyen +4 more
This paper introduces GraphVid, a graph-conditioned image-to-video generation model enabling precise multi-subject control through structured interaction graphs, and curates GraphVid-Bench, a large-sc…
The authors validate the controllability of Generative Synthetic Populations (GSP) through an experiment with a fictional municipality and synthetic personas.
Kerri Prinos, Lilianne Brush, Cameron Denton, Zhanqi Wang +4 more
The paper proposes a tool-mediated LLM architecture for autonomous cyber defense, formally proving its stability and demonstrating that it significantly reduces an attacker's expected payoff in real-w…
Hanlin Wang, Hao Ouyang, Qiuyu Wang, Wen Wang +9 more
The paper introduces WorldDirector, a framework for creating controllable video worlds with persistent dynamic object memory and exact visual identities.
This paper systematically audits the safety implications of activation steering vectors, finding that these vectors significantly influence the success rate of jailbreak attacks by overlapping with la…
This paper determines that verifying global parameter identifiability for linear ODE models is an NP-hard problem, establishing a computational complexity boundary for the field.
This paper investigates how network perturbations can alter the asymptotic agreement trajectory in distributed coordination systems, proving fragility in standard cooperative output regulation schemes…
The paper demonstrates that standard homomorphic encryption (HE) schemes are insufficient to guarantee integrity in networked control systems (NCS) against covert attacks, proposing instead a verifiab…
Sophie Hall, Kai Zhang, Ilia Shilov, Heinrich H. Nax +1 more
This paper explores tools for control engineers to design socio-technical systems in a more principled and ethical manner, using feedback optimization, control of Markov decision processes, and model…
The paper proposes CTRL-STEER, a closed-loop framework that adaptively adjusts intervention strength to stabilize concept regulation and improve task success in Vision-Language-Action models without r…
This paper introduces a new distributed computational model called the uniform port model, which allows for efficient self-stabilizing algorithms for local symmetry breaking problems on general graphs…
This paper establishes mathematical limits of AGI safety, proving structural unverifiability as the core barrier.
This paper proposes a method to describe dynamical systems using molecular and reaction concepts, making three key decisions: number of places, species determination, and transitions.
This paper studies the decidability and complexity properties of unary three-way and two-way deterministic and nondeterministic two-dimensional automata.
Chenhao Bai, Liqin Lu, Kaijun Wang, Hui Chen +4 more
This paper studies how to scale robust robot policies by expanding physical domains in a recoverable way.