ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

Dynamic Relative Representations for Goal-Oriented Semantic Communications. - Simone Fiorellino; Claudio Battiloro; Emilio Calvanese Strinati; Paolo Di Lorenzo (EUSIPCO, 2024)

Topological Neural Networks over the Air. - Simone Fiorellino; Claudio Battiloro; Paolo Di Lorenzo (ICASSP, 2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization. - Tomás Hüttebräucker; Simone Fiorellino; Mohamed Sana; Paolo Di Lorenzo; Emilio Calvanese Strinati (CoRR, 2024)

RIS-aided Latent Space Alignment for Semantic Channel Equalization. - Tomás Hüttebräucker; Mario Edoardo Pandolfo; Simone Fiorellino; Emilio Calvanese Strinati; Paolo Di Lorenzo (CoRR, 2025)

Latent Space Alignment for AI-Native MIMO Semantic Communications. - Mario Edoardo Pandolfo; Simone Fiorellino; Emilio Calvanese Strinati; Paolo Di Lorenzo (CoRR, 2025)

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications. - Simone Fiorellino; Claudio Battiloro; Emilio Calvanese Strinati; Paolo Di Lorenzo (CoRR, 2025)