Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs. - Mohammed Mallik; Angesom Ataklity Tesfay; Benjamin Allaert; Rédha Kassi; Esteban Egea-López; Jose Maria Molina Garcia Pardo; Joe Wiart; Davy Paul Gaillot; Laurent Clavier (Sensors, 2022)

Deep Learning-based Successive Interference Cancellation to Improve Uplink in LoRa Networks. - Angesom Ataklity Tesfay; Eric Pierre Simon; Mohammed Mallik; Virginie Deniau; Laurent Clavier (MeditCom, 2024)

GLIP: Electromagnetic Field Exposure Map Completion by Deep Generative Networks. - Mohammed Mallik; Davy Paul Gaillot; Laurent Clavier (PIMRC, 2024)

Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction. - Mohammed Mallik; Benjamin Allaert; Esteban Egea-López; Davy Paul Gaillot; Joe Wiart; Laurent Clavier (IEEE Access, 2024)

Fast Field Strength Prediction Using Modern Machine Learning in European Cities From Few RF-EMF Measurements: A Neural Tangent Kernel Perspective. - Mohammed Mallik; Jorn Schampheleer; Laurent Clavier; Margot Deruyck (IEEE Access, 2025)

Comparative analysis of Realistic EMF Exposure Estimation from Low Density Sensor Network by Finite & Infinite Neural Networks. - Mohammed Mallik; Laurent Clavier; Davy Paul Gaillot (CoRR, 2025)

Channel Estimation by Infinite Width Convolutional Networks. - Mohammed Mallik; Guillaume Villemaud (CoRR, 2025)