collaborators

6 papers

math.OC2026

The Price of Feasibility: Greedy Approximation Bounds for String Supermodular Optimization over Oracle-Conditioned Greedoids

Joan Vendrell Gallart, Russell Bent, Solmaz Kia

Greedy algorithms efficiently approximate combinatorial optimization problems, but their guarantees weaken when feasibility couples combinatorial structure with global physical con…

math.OC2026

Submodular Welfare under Routing Coupling: A Hierarchical Decomposition with Perturbation Guarantees

Joan Vendrell Gallart, Nhat-Minh Tang-Nguyen, Alan Kuhnle +1

This paper studies joint submodular welfare maximization and routing over graphs, where agents select items under diminishing returns and transport them through a network with cong…

cs.CL2026

Chain-based Adaptive Reconfiguration Over Lattices for Hallucination Reduction

Joan Vendrell Gallart, Solmaz Kia, Russell Bent +1

We introduce CAROL (Chain-based Adaptive Reconfiguration Over Lattices), a probabilistic framework for test-time hallucination reduction in large language models. Rather than relyi…

cs.AI2026

Hierarchical Prompt-Domain Control and Learning for Resource-Constrained Agentic Language Models

Joan Vendrell Gallart, Russell Bent, Michael Grosskopf

Large Language Models are increasingly deployed inside agentic systems, where they must follow structured protocols, adapt to evolving states, and operate under memory, latency, an…

eess.SY2025

Microgrids optimal radial reconfiguration via FORWARD algorithm

Joan Vendrell Gallart, Russell Bent, Solmaz Kia

Microgrids offer a promising paradigm for integrating distributed energy resources, bolstering energy resilience, and reducing the impact of blackouts. However, their inherent dece…

math.OC2025

FORWARD: A Feasible Radial Reconfiguration Algorithm for Multi-Source Distribution Networks

Joan Vendrell Gallart, Russell Bent, Solmaz Kia

This paper considers an optimal radial reconfiguration problem in multi-source distribution networks, where the goal is to find a radial configuration that minimizes quadratic dist…