HodgeNet: Graph Neural Networks for Edge Data. - T. Mitchell Roddenberry; Santiago Segarra (ACSSC, 2019)

Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. - T. Mitchell Roddenberry; Santiago Segarra (ACSSC, 2020)

Blind Inference of Centrality Rankings from Graph Signals. - T. Mitchell Roddenberry; Santiago Segarra (ICASSP, 2020)

Metric Representations of Networks: A Uniqueness Result. - Santiago Segarra; T. Mitchell Roddenberry; Facundo Mémoli; Alejandro Ribeiro (ICASSP, 2020)

Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. - Michael Weylandt; T. Mitchell Roddenberry; Genevera I. Allen (CoRR, 2020)

Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets. - T. Mitchell Roddenberry; Santiago Segarra; Anastasios Kyrillidis (CoRR, 2020)

Exact Blind Community Detection From Signals on Multiple Graphs. - T. Mitchell Roddenberry; Michael T. Schaub; Hoi-To Wai; Santiago Segarra (IEEE Trans. Signal Process., 2020)

Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. - Chiraag Kaushik; T. Mitchell Roddenberry; Santiago Segarra (ICASSP, 2021)

Network Topology Inference with Graphon Spectral Penalties. - T. Mitchell Roddenberry; Madeline Navarro; Santiago Segarra (ICASSP, 2021)

Principled Simplicial Neural Networks for Trajectory Prediction. - T. Mitchell Roddenberry; Nicholas Glaze; Santiago Segarra (ICML, 2021)

Sparse Partial Least Squares for Coarse Noisy Graph Alignment. - Michael Weylandt; George Michailidis; T. Mitchell Roddenberry (SSP, 2021)

Signal processing on simplicial complexes. - Michael T. Schaub; Jean-Baptiste Seby; Florian Frantzen; T. Mitchell Roddenberry; Yu Zhu 003; Santiago Segarra (CoRR, 2021)

Signal processing on higher-order networks: Livin' on the edge... and beyond. - Michael T. Schaub; Yu Zhu 003; Jean-Baptiste Seby; T. Mitchell Roddenberry; Santiago Segarra (Signal Process., 2021)

Blind Inference of Eigenvector Centrality Rankings. - T. Mitchell Roddenberry; Santiago Segarra (IEEE Trans. Signal Process., 2021)

Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. - T. Mitchell Roddenberry; Florian Frantzen; Michael T. Schaub; Santiago Segarra (ICASSP, 2022)

Signal Processing On Cell Complexes. - T. Mitchell Roddenberry; Michael T. Schaub; Mustafa Hajij (ICASSP, 2022)

On Local Distributions in Graph Signal Processing. - T. Mitchell Roddenberry; Fernando Gama; Richard G. Baraniuk; Santiago Segarra (IEEE Trans. Signal Process., 2022)

Signal Processing On Product Spaces. - T. Mitchell Roddenberry; Vincent P. Grande; Florian Frantzen; Michael T. Schaub; Santiago Segarra (ICASSP, 2023)

Windowed Fourier Analysis for Signal Processing on Graph Bundles. - T. Mitchell Roddenberry; Santiago Segarra (ICASSP, 2023)

Limits of Dense Simplicial Complexes. - T. Mitchell Roddenberry; Santiago Segarra (J. Mach. Learn. Res., 2023)

Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. - Samuel Rey; T. Mitchell Roddenberry; Santiago Segarra; Antonio G. Marques (IEEE Trans. Signal Process., 2023)

An Impossibility Theorem for Node Embedding. - T. Mitchell Roddenberry; Yu Zhu 003; Santiago Segarra (AISTATS, 2024)

Implicit Neural Representations and the Algebra of Complex Wavelets. - T. Mitchell Roddenberry; Vishwanath Saragadam; Maarten V. de Hoop; Richard G. Baraniuk (ICLR, 2024)