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

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].

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