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From the 1 of 8 papers with an AI index.

most citedQuantum max-flow in the bridge graph

1 citations

8 papers

cs.AI2026

An Explainable GNN Framework for Component-Level Anomaly Diagnosis

Sena Ozgunay, Louise Travé-Massuyès, Jean-Michel Loubes +1

Industrial processes are complex systems composed of multiple interacting sensors that generate multivariate time series (MTS). Detecting anomalies in such systems is critical for…

math.ST2026

OT-FairBoost: Optimal Transport-Guided Gradient Boosting for Fairness Regularization on Tabular Data

Veronika Shilova, Abdoulaye Sakho, Younes Boumoussou +3

The paper proposes OT-FairBoost, an in-processing method that adds a Wasserstein-2 distance penalty to gradient-boosted tree training to improve group fairness while maintaining ac…

quant-ph20261 cited

Quantum max-flow in the bridge graph

Fulvio Gesmundo, Vladimir Lysikov, Vincent Steffan

The quantum max-flow is a linear algebraic version of the classical max-flow of a graph, used in quantum many-body physics to quantify the maximal possible entanglement between two…

quant-ph20261 cited

Towards Unconditional Uncloneable Encryption

Pierre Botteron, Anne Broadbent, Eric Culf +3

Uncloneable encryption is a cryptographic primitive which encrypts a classical message into a quantum ciphertext, such that two quantum adversaries are limited in their capacity of…

quant-ph20261 cited

Entanglement in the Dicke subspace

Aabhas Gulati, Ion Nechita, Clément Pellegrini

We provide a complete mathematical theory for the entanglement of mixtures of Dicke states. These quantum states form an important subclass of bosonic states arising in the study o…

cs.LO20261 cited

Dynamic Hypersequents for Public Announcement Logic

Clara Lerouvillois, Francesca Poggiolesi

Dynamic Epistemic Logic extends classical epistemic logic by modeling not only static knowledge but also its evolution through information updates. Among its various systems, Publi…