Hans Riess

24 papers C 1Misc 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantale-Enriched Co-Design: Toward a Framework for Quantitative Heterogeneous System Design.
CoRR
Hans Riess, Yujun Huang, Matthew Klawonn, Gioele Zardini, Matthew T. Hale
2025 J jnl
Asynchronous Nonlinear Sheaf Diffusion for Multi-Agent Coordination.
CoRR
Yichen Zhao, Tyler Hanks, Hans Riess, Samuel Cohen, Matthew T. Hale, James P. Fairbanks
2025 — conf
Distributed Multi-Agent Coordination over Cellular Sheaves.
CDC
Tyler Hanks, Hans Riess, Samuel Cohen, Trevor Gross, Matthew Hale, James P. Fairbanks
2025 J jnl
Distributed Multi-agent Coordination over Cellular Sheaves.
CoRR
Tyler Hanks, Hans Riess, Samuel Cohen, Trevor Gross, Matthew Hale, James P. Fairbanks
2024 — conf
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.
CDC
Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 J jnl
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.
CoRR
Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 C conf
Network Preference Dynamics Using Lattice Theory.
ACC
Hans Riess, Gregory Henselman-Petrusek, Michael C. Munger, Robert Ghrist, Zachary I. Bell, Michael M. Zavlanos
2024 J jnl
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together?
CoRR
Hans Riess, Manolis Veveakis, Michael M. Zavlanos
2024 J jnl
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back.
IEEE Trans. Signal Process.
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023 J jnl
Lattice Theory in Multi-Agent Systems.
CoRR
Hans Riess
2023 — conf
Max-Plus Synchronization in Decentralized Trading Systems.
CDC
Hans Riess, Michael C. Munger, Michael M. Zavlanos
2023 J jnl
Max-Plus Synchronization in Decentralized Trading Systems.
CoRR
Hans Riess, Michael C. Munger, Michael M. Zavlanos
2023 J jnl
Network Preference Dynamics using Lattice Theory.
CoRR
Hans Riess, Gregory Henselman-Petrusek, Michael C. Munger, Robert Ghrist, Zachary I. Bell, Michael M. Zavlanos
2023 J jnl
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back.
CoRR
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023 Misc conf
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back.
ICASSP
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023 — conf
Transferable Hypergraph Neural Networks via Spectral Similarity.
LoG
Mikhail Hayhoe, Hans Riess, Michael M. Zavlanos, Victor M. Preciado, Alejandro Ribeiro
2022 J jnl
Asynchronous Diffusion of Data on Networked Lattices.
CoRR
Robert Ghrist, Hans Riess
2022 — conf
Diffusion of Information on Networked Lattices by Gossip.
CDC
Hans Riess, Robert Ghrist
2022 J jnl
Stable and Transferable Hyper-Graph Neural Networks.
CoRR
Mikhail Hayhoe, Hans Riess, Victor M. Preciado, Alejandro Ribeiro
2022 J jnl
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back.
CoRR
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2020 J jnl
Distributed Locally Non-interfering Connectivity via Linear Temporal Logic.
CoRR
Hans Riess, Yiannis Kantaros, George J. Pappas, Robert Ghrist
2020 J jnl
Moduli spaces of morse functions for persistence.
J. Appl. Comput. Topol.
Michael J. Catanzaro, Justin Michael Curry, Brittany Terese Fasy, Janis Lazovskis, Greg Malen, Hans Riess, Bei Wang, Matthew Zabka
2020 J jnl
Multidimensional Persistence Module Classification via Lattice-Theoretic Convolutions.
CoRR
Hans Riess, Jakob Hansen
2020 J jnl
Quiver Signal Processing (QSP).
CoRR
Alejandro Parada-Mayorga, Hans Riess, Alejandro Ribeiro, Robert Ghrist