| 2024 | AISTATS | An Impossibility Theorem for Node Embedding. | T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra |
| 2024 | ICLR | Implicit Neural Representations and the Algebra of Complex Wavelets. | T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk |
| 2023 | ICASSP | Signal Processing On Product Spaces. | T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra |
| 2023 | ICASSP | Windowed Fourier Analysis for Signal Processing on Graph Bundles. | T. Mitchell Roddenberry, Santiago Segarra |
| 2022 | ICASSP | Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. | T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra |
| 2022 | ICASSP | Signal Processing On Cell Complexes. | T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij |
| 2021 | ICASSP | Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. | Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra |
| 2021 | ICASSP | Network Topology Inference with Graphon Spectral Penalties. | T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra |
| 2021 | ICML | Principled Simplicial Neural Networks for Trajectory Prediction. | T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra |
| 2020 | ACSSC | Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. | T. Mitchell Roddenberry, Santiago Segarra |
| 2020 | ICASSP | Blind Inference of Centrality Rankings from Graph Signals. | T. Mitchell Roddenberry, Santiago Segarra |
| 2020 | ICASSP | Metric Representations of Networks: A Uniqueness Result. | Santiago Segarra, T. Mitchell Roddenberry, Facundo Mmoli, Alejandro Ribeiro |
| 2019 | ACSSC | HodgeNet: Graph Neural Networks for Edge Data. | T. Mitchell Roddenberry, Santiago Segarra |