### Preprints

**Riess, H.**, Veveakis, M., Zavlanos, M. (2024). Path signatures and graph neural networks for slow earthquake analysis: netter together?.

Parada-Mayorga, A., **Riess, H.**, Ribeiro, A., & Ghrist, R. (2020). Quiver signal processing (QSP).

### Journal Publications

Battiloro, C., Wang, Z., **Riess, H.**, Di Lorenzo, P., Ribeiro, A. (2023). Tangent bundle convolutional learning: from manifolds to cellular sheaves and back, in *IEEE Transactions on Signal Processing*.

Ghrist, R., & **Riess, H**. (2022). Cellular sheaves of lattices and the Tarski Laplacian, in *Homology, Homotopy and Applications*, 24(1), 325-345.

Catanzaro, M. J., Curry, J. M., Fasy, B. T., Lazovskis, J., Malen, G., **Riess, H.**, Wang, B., & Zabka, M. (2020). Moduli spaces of morse functions for persistence, in *Journal of Applied and Computational Topology*, 4(3), 353-385.

### Conference Proceedings

Konti, X., **Riess, H.**, Giannopoulos, M., Shen, Y., Pencina, M., Economou-Zavlanos, N., Zavlanos, M. (2024). Distributionally robust clustered federated learning: a case study in healthcare, to appear in 63rd IEEE Conference on Control and Decision Systems (CDC), Milan.

**Riess, H.**, Henselman-Petrusek, G., Munger, M., Ghrist, R., Bell, Z., & Zavlanos, M. (2023). Network preference dynamics using lattice theory, in *2024 American Control Conference*, Toronto.

Hayhoe, M., **Riess, H.**, Preciado, V., & Ribeiro, A. (2023). Transferable hypergraph neural networks via spectral similarity, in *Second Learning on Graphs Conference*, virtual.

**Riess, H.**, Munger, M., & Zavlanos, M. (2023). Max-Plus synchronization in decentralized trading systems, in *2023 IEEE 62nd Conference on Decision and Control (CDC)*, Singapore.

Battiloro, C., Wang, Z., **Riess, H.**, Di Lorenzo, P., & Ribeiro, A. (2022). Tangent bundle filters and neural networks: from manifolds to cellular sheaves and back, in *2023 Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP)*.

**Riess, H.**, Ghrist, R. (2022). Diffusion of information on networked lattices by gossip, in *IEEE 61st Conference on Decision and Control (CDC)*, Cancun, Mexico, 5946-5952.

**Riess, H.**, Kantaros, Y., Pappas, G., & Ghrist, R. (2021). A Temporal logic-based hierarchical network connectivity controller, in *2021 Proceedings of the Conference on Control and its Applications*, virtual.

### Workshop

**Riess, H.**, & Hansen, J. (2020). Multidimensional persistence module classification via lattice-theoretic convolutions. In *NeurIPS Workshop on Topological Data Analysis and Beyond*.

### Thesis

**Riess, H.** (2022). Lattice theory in multi-agent systems. Doctor of Philosophy, University of Pennsylvania.