174 citations
- Institut national de recherche en sciences et technologies du numériqueFR146 papers
- Université de LilleFR64 papers
- Centre National de la Recherche ScientifiqueFR49 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR41 papers
- Centre de Recherche en InformatiqueFR30 papers
- École Centrale de LilleFR19 papers
- Laboratoire d'Informatique Fondamentale de LilleFR18 papers
- Laboratoire Paul PainlevéFR17 papers
- University College LondonGB16 papers
- Université Libre de BruxellesBE11 papers
- Université Paris-SaclayFR11 papers
- University of LondonGB9 papers
264 papers
Outlier detection for patient monitoring and alerting
Miloš Hauskrecht, Iyad Batal, Michal Valko +3
We develop and evaluate a data-driven approach for detecting unusual (anomalous) patient-management decisions using past patient cases stored in electronic health records (EHRs). O…
Learning from a single labeled face and a stream of unlabeled data
Branislav Kveton, Michal Valko
Face recognition from a single image per person is a challenging problem because the training sample is extremely small. We consider a variation of this problem. In our problem, we…
Conditional anomaly detection with soft harmonic functions
Michal Valko, Branislav Kveton, Hamed Valizadegan +2
In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response or a class label. We develop a new non-paramet…
Evaluating Membership Inference Attacks in heterogeneous-data setups
Bram van Dartel, Marc Damie, Florian Hahn
Among all privacy attacks against Machine Learning (ML), membership inference attacks (MIA) attracted the most attention. In these attacks, the attacker is given an ML model and a…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
IDEQ -- Improving Diffusion Models for the Traveling Salesman Problem (TSP) by Leveraging the Structure of the Solution Space
Mickael Basson, Philippe Preux
We investigate diffusion models to solve the Traveling Salesman Problem. Building on the recent DIFUSCO and T2TCO approaches, we propose IDEQ. IDEQ improves the quality of the solu…