T. Mitchell Roddenberry

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Signal Processing

Top Venues

IEEE Trans. Signal Process.

Publications

T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR (2024)
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
An Impossibility Theorem for Node Embedding. AISTATS (2024)
T. Mitchell Roddenberry, Santiago Segarra
Limits of Dense Simplicial Complexes. J. Mach. Learn. Res. 24 (2023)
Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques
Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. IEEE Trans. Signal Process. 71 (2023)
T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra
Signal Processing On Product Spaces. ICASSP (2023)
T. Mitchell Roddenberry, Santiago Segarra
Windowed Fourier Analysis for Signal Processing on Graph Bundles. ICASSP (2023)
T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR (2023)
T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra
Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. ICASSP (2022)
T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
On Local Distributions in Graph Signal Processing. IEEE Trans. Signal Process. 70 (2022)
T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij
Signal Processing On Cell Complexes. ICASSP (2022)
T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
On Local Distributions in Graph Signal Processing. CoRR (2022)
T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra
Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes. CoRR (2021)
Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra
Principled Simplicial Neural Networks for Trajectory Prediction. CoRR (2021)
Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. ICASSP (2021)
Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
Signal processing on simplicial complexes. CoRR (2021)
Michael Weylandt, George Michailidis, T. Mitchell Roddenberry
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. SSP (2021)
T. Mitchell Roddenberry, Santiago Segarra
Blind Inference of Eigenvector Centrality Rankings. IEEE Trans. Signal Process. 69 (2021)
T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij
Signal Processing on Cell Complexes. CoRR (2021)
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
An Impossibility Theorem for Node Embedding. CoRR (2021)
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
Signal processing on higher-order networks: Livin' on the edge... and beyond. Signal Process. 187 (2021)
Michael Weylandt, George Michailidis, T. Mitchell Roddenberry
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. CoRR (2021)
T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra
Principled Simplicial Neural Networks for Trajectory Prediction. ICML (2021)
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond. CoRR (2021)
T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra
Network Topology Inference with Graphon Spectral Penalties. ICASSP (2021)
T. Mitchell Roddenberry, Santiago Segarra
Blind Inference of Eigenvector Centrality Rankings. CoRR (2020)
Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
Metric Representations of Networks: A Uniqueness Result. ICASSP (2020)
T. Mitchell Roddenberry, Santiago Segarra
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. CoRR (2020)
T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets. CoRR (2020)
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
Exact Blind Community Detection from Signals on Multiple Graphs. CoRR (2020)
Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
Network topology change-point detection from graph signals with prior spectral signatures. CoRR (2020)
T. Mitchell Roddenberry, Santiago Segarra
Blind Inference of Centrality Rankings from Graph Signals. ICASSP (2020)
T. Mitchell Roddenberry, Santiago Segarra
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. ACSSC (2020)
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
Exact Blind Community Detection From Signals on Multiple Graphs. IEEE Trans. Signal Process. 68 (2020)
Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. CoRR (2020)
T. Mitchell Roddenberry, Santiago Segarra
HodgeNet: Graph Neural Networks for Edge Data. CoRR (2019)
Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
Metric Representations of Networks: A Uniqueness Result. CoRR (2019)
T. Mitchell Roddenberry, Santiago Segarra
HodgeNet: Graph Neural Networks for Edge Data. ACSSC (2019)
T. Mitchell Roddenberry, Santiago Segarra
Blind Inference of Centrality Rankings from Graph Signals. CoRR (2019)