Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling. - Abdelhak Lemkhenter; Paolo Favaro (GCPR, 2020)

Generative Adversarial Learning via Kernel Density Discrimination. - Abdelhak Lemkhenter; Adam Bielski; Alp Eren Sari; Paolo Favaro (CoRR, 2021)

Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning. - Abdelhak Lemkhenter; Paolo Favaro (EMBC, 2022)

SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. - Abdelhak Lemkhenter; Manchen Wang; Luca Zancato; Gurumurthy Swaminathan; Paolo Favaro; Davide Modolo (CVPR Workshops, 2024)

Blind Image Restoration via Fast Diffusion Inversion. - Hamadi Chihaoui; Abdelhak Lemkhenter; Paolo Favaro (NeurIPS, 2024)

World and Human Action Models towards gameplay ideation. - Anssi Kanervisto; David Bignell; Linda Yilin Wen; Martin Grayson; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Tabish Rashid; Tim Pearce; Yuhan Cao 001; Abdelhak Lemkhenter; Chentian Jiang; et al. (Nat., 2025)

Adapting a World Model for Trajectory Following in a 3D Game. - Marko Tot; Shu Ishida; Abdelhak Lemkhenter; David Bignell; Pallavi Choudhury; Chris Lovett; Luis França; Matheus Ribeiro Furtado de Mendonca; Tarun Gupta; Darren Gehring; Sam Devlin; Sergio Valcarcel Macua; et al. (CoRR, 2025)

Adapting Vision-Language Models for Evaluating World Models. - Mariya Hendriksen; Tabish Rashid; David Bignell; Raluca Georgescu; Abdelhak Lemkhenter; Katja Hofmann; Sam Devlin; Sarah Parisot (CoRR, 2025)