Publications

Telyatnikov, L., Bernardez, G., Montagna, M., Hajij, M., Carrasco, M., Vasylenko, P., Papillon, M., ..., Papamarkou, T. 2025. "TopoBench: A Framework for Benchmarking Topological Deep Learning." || Under review at Journal of Data-centric Machine Learning Research.  [Paper] [Code].

Bernárdez, G., Ferriol-Galmés, M., Güemes-Palau, C., Papillon, M., Barlet-Ros, P., Cabellos-Aparicio, A., Miolane, N. 2025. "Ordered Topological Deep Learning: A Network Modeling Case Study." || Under review. [Paper].

Papillon M., Sanborn S., Hajij M., Miolane N., 2023. "Architectures of Topological Deep Learning: A Survey of Topological Neural Networks." || Under review.  [Paper] [Awesome-TNNs].

Journal Publications

Papillon, M.*, Sanborn, S.*, Mathe, J.*,  Cornelis, L.*, Buracas, D., Lillemark, H.J., Shewmake, C., Bertics, A., Pennec, X. and Miolane, N., 2024. "Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures." || Accepted for publication at IOP Science Machine Learning Science and Technology. [Paper]

Hajij, M.*, Papillon, M.*, Frantzen, F.*, Agerberg, J., AlJabea, I., Ballester, R., Battiloro, C., Bernárdez, G., Birdal, T., Brent, A., Chin, P., Escalera, S., Fiorellino, S., Gardaa, O. H., Gopalakrishnan, G., Govil, D., Hoppe, J., Karri, M. R., Khouja, J., Lecha, M., Livesay, N., Meißner, J., Mukherjee, S., Nikitin, A., Papamarkou, T., Prílepok, J., Ramamurthy, K. N., Rosen, P., Guzmán-Sáenz, A., Salatiello, A., Samaga, S. N., Scardapane, S., Schaub, M. T., Scofano, L., Spinelli, I., Telyatnikov, L., Truong, Q., Walters, R., Yang, M., Zaghen, O., Zamzmi, G., Zia, A., Miolane, N. (2024). TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.  || Journal of Machine Learning Research} 25.374 (2024): 1-8. [Paper] [Code]

Conference Publications

Papillon, M., Bernárdez, G., Battiloro, C.* and Miolane, N.*, 2024. "TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks." || Accepted at ICML 2025. [Paper] [Blog+Tutorial] [Code].

Papillon, M., Hajij, M., Frantzen, F., Hoppe, J., Jenne, H., Mathe, J., Myers, A., Papamarkou, T., Schaub, M. T., Zamzmi, G., et al. "ICML 2023 Topological Deep Learning Challenge: Design and Results." || In Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) at ICML. Honolulu, USA. [Paper] [Challenge].

Papillon M., Pettee M., Miolane N. "Intentional Choreography with Semi-Supervised Recurrent VAEs." || NeurIPS Workshop: Machine Learning for Creativity and Design (2022), New Orleans, USA.  [Paper] [Code].

Papillon M., Pettee M., Miolane N. "PirouNet: Creating Dance through Artist-Centric Deep Learning." || EAI ArtsIT Conference (2022), Faro, Portugal. Best Paper Award (Oral).  [Paper] [Code].