PirouNet: Creating Dance Through Artist-Centric Deep Learning. - Mathilde Papillon; Mariel Pettee; Nina Miolane (ArtsIT, 2022)

PirouNet: Creating Intentional Dance with Semi-Supervised Conditional Recurrent Variational Autoencoders. - Mathilde Papillon; Mariel Pettee; Nina Miolane (CoRR, 2022)

Intentional Choreography with Semi-Supervised Recurrent VAEs. - Mathilde Papillon; Mariel Pettee; Nina Miolane (CoRR, 2022)

Preface. - Timothy Doster; Tegan Emerson; Henry Kvinge; Nina Miolane; Mathilde Papillon; Bastian Rieck; Sophia Sanborn (TAG-ML, 2023)

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)

Architectures of Topological Deep Learning: A Survey on Topological Neural Networks. - Mathilde Papillon; Sophia Sanborn; Mustafa Hajij; Nina Miolane (CoRR, 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)

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)

Attending to Topological Spaces: The Cellular Transformer. - Rubén Ballester; Pablo Hernández-García; Mathilde Papillon; Claudio Battiloro; Nina Miolane; Tolga Birdal; Carles Casacuberta; Sergio Escalera; Mustafa Hajij (CoRR, 2024)

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures. - Sophia Sanborn; Johan Mathe; Mathilde Papillon; Domas Buracas; Hansen Lillemark; Christian Shewmake; Abby Bertics; Xavier Pennec; Nina Miolane (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks. - Mathilde Papillon; Guillermo Bernárdez; Claudio Battiloro; Nina Miolane (CoRR, 2024)

Ordered Topological Deep Learning: a Network Modeling Case Study. - Guillermo Bernárdez; Miquel Ferriol Galmés; Carlos Güemes-Palau; Mathilde Papillon; Pere Barlet-Ros; Albert Cabellos-Aparicio; Nina Miolane (CoRR, 2025)