T. Mitchell Roddenberry

39 papers A* 2A 1Misc 10Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Rates and architectures for learning geometrically non-trivial operators.
CoRR
T. Mitchell Roddenberry, Leo Tzou, Ivan Dokmanic, Maarten V. de Hoop, Richard G. Baraniuk
2024 A conf
An Impossibility Theorem for Node Embedding.
AISTATS
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
2024 A* conf
Implicit Neural Representations and the Algebra of Complex Wavelets.
ICLR
T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
2023 J jnl
Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs.
IEEE Trans. Signal Process.
Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques
2023 J jnl
Implicit Neural Representations and the Algebra of Complex Wavelets.
CoRR
T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
2023 J jnl
Limits of Dense Simplicial Complexes.
J. Mach. Learn. Res.
T. Mitchell Roddenberry, Santiago Segarra
2023 Misc conf
Signal Processing On Product Spaces.
ICASSP
T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra
2023 Misc conf
Windowed Fourier Analysis for Signal Processing on Graph Bundles.
ICASSP
T. Mitchell Roddenberry, Santiago Segarra
2022 Misc conf
Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes.
ICASSP
T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra
2022 J jnl
On Local Distributions in Graph Signal Processing.
CoRR
T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
2022 J jnl
On Local Distributions in Graph Signal Processing.
IEEE Trans. Signal Process.
T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
2022 Misc conf
Signal Processing On Cell Complexes.
ICASSP
T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij
2021 J jnl
An Impossibility Theorem for Node Embedding.
CoRR
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
2021 J jnl
Blind Inference of Eigenvector Centrality Rankings.
IEEE Trans. Signal Process.
T. Mitchell Roddenberry, Santiago Segarra
2021 J jnl
Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes.
CoRR
T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra
2021 Misc conf
Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures.
ICASSP
Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
2021 Misc conf
Network Topology Inference with Graphon Spectral Penalties.
ICASSP
T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra
2021 A* conf
Principled Simplicial Neural Networks for Trajectory Prediction.
ICML
T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra
2021 J jnl
Principled Simplicial Neural Networks for Trajectory Prediction.
CoRR
Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra
2021 J jnl
Signal Processing on Cell Complexes.
CoRR
T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij
2021 J jnl
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond.
CoRR
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
2021 J jnl
Signal processing on higher-order networks: Livin' on the edge... and beyond.
Signal Process.
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
2021 J jnl
Signal processing on simplicial complexes.
CoRR
Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
2021 — conf
Sparse Partial Least Squares for Coarse Noisy Graph Alignment.
SSP
Michael Weylandt, George Michailidis, T. Mitchell Roddenberry
2021 J jnl
Sparse Partial Least Squares for Coarse Noisy Graph Alignment.
CoRR
Michael Weylandt, George Michailidis, T. Mitchell Roddenberry
2020 Misc conf
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering.
ACSSC
T. Mitchell Roddenberry, Santiago Segarra
2020 J jnl
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering.
CoRR
T. Mitchell Roddenberry, Santiago Segarra
2020 Misc conf
Blind Inference of Centrality Rankings from Graph Signals.
ICASSP
T. Mitchell Roddenberry, Santiago Segarra
2020 J jnl
Blind Inference of Eigenvector Centrality Rankings.
CoRR
T. Mitchell Roddenberry, Santiago Segarra
2020 J jnl
Exact Blind Community Detection From Signals on Multiple Graphs.
IEEE Trans. Signal Process.
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
2020 J jnl
Exact Blind Community Detection from Signals on Multiple Graphs.
CoRR
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
2020 Misc conf
Metric Representations of Networks: A Uniqueness Result.
ICASSP
Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
2020 J jnl
Network topology change-point detection from graph signals with prior spectral signatures.
CoRR
Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
2020 J jnl
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets.
CoRR
T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis
2020 J jnl
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering.
CoRR
Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen
2019 J jnl
Blind Inference of Centrality Rankings from Graph Signals.
CoRR
T. Mitchell Roddenberry, Santiago Segarra
2019 Misc conf
HodgeNet: Graph Neural Networks for Edge Data.
ACSSC
T. Mitchell Roddenberry, Santiago Segarra
2019 J jnl
HodgeNet: Graph Neural Networks for Edge Data.
CoRR
T. Mitchell Roddenberry, Santiago Segarra
2019 J jnl
Metric Representations of Networks: A Uniqueness Result.
CoRR
Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro