Distributed Locally Non-interfering Connectivity via Linear Temporal Logic. - Hans Riess; Yiannis Kantaros; George J. Pappas; Robert Ghrist (CoRR, 2020)

Quiver Signal Processing (QSP). - Alejandro Parada-Mayorga; Hans Riess; Alejandro Ribeiro; Robert Ghrist (CoRR, 2020)

Multidimensional Persistence Module Classification via Lattice-Theoretic Convolutions. - Hans Riess; Jakob Hansen (CoRR, 2020)

Moduli spaces of morse functions for persistence. - Michael J. Catanzaro; Justin Michael Curry; Brittany Terese Fasy; Janis Lazovskis; Greg Malen; Hans Riess; Bei Wang 001; Matthew Zabka (J. Appl. Comput. Topol., 2020)

Diffusion of Information on Networked Lattices by Gossip. - Hans Riess; Robert Ghrist (CDC, 2022)

Asynchronous Diffusion of Data on Networked Lattices. - Robert Ghrist; Hans Riess (CoRR, 2022)

Stable and Transferable Hyper-Graph Neural Networks. - Mikhail Hayhoe; Hans Riess; Victor M. Preciado; Alejandro Ribeiro (CoRR, 2022)

Max-Plus Synchronization in Decentralized Trading Systems. - Hans Riess; Michael C. Munger; Michael M. Zavlanos (CDC, 2023)

Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. - Claudio Battiloro; Zhiyang Wang; Hans Riess; Paolo Di Lorenzo; Alejandro Ribeiro (ICASSP, 2023)

Transferable Hypergraph Neural Networks via Spectral Similarity. - Mikhail Hayhoe; Hans Riess; Michael M. Zavlanos; Victor M. Preciado; Alejandro Ribeiro (LoG, 2023)

Lattice Theory in Multi-Agent Systems. - Hans Riess (CoRR, 2023)

Network Preference Dynamics Using Lattice Theory. - Hans Riess; Gregory Henselman-Petrusek; Michael C. Munger; Robert Ghrist; Zachary I. Bell; Michael M. Zavlanos (ACC, 2024)

Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare. - Xenia Konti; Hans Riess; Manos Giannopoulos; Yi Shen 011; Michael J. Pencina; Nicoleta J. Economou-Zavlanos; Michael M. Zavlanos (CDC, 2024)

Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together? - Hans Riess; Manolis Veveakis; Michael M. Zavlanos (CoRR, 2024)

Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. - Claudio Battiloro; Zhiyang Wang; Hans Riess; Paolo Di Lorenzo; Alejandro Ribeiro (IEEE Trans. Signal Process., 2024)

Distributed Multi-agent Coordination over Cellular Sheaves. - Tyler Hanks; Hans Riess; Samuel Cohen; Trevor Gross; Matthew Hale 001; James P. Fairbanks (CoRR, 2025)