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T. Mitchell Roddenberry
T. Mitchell Roddenberry
Postdoctoral Researcher, Rice University
Dirección de correo verificada de rice.edu - Página principal
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Signal processing on higher-order networks: Livin’on the edge... and beyond
MT Schaub, Y Zhu, JB Seby, TM Roddenberry, S Segarra
Signal Processing 187, 108149, 2021
1302021
Principled simplicial neural networks for trajectory prediction
TM Roddenberry, N Glaze, S Segarra
International Conference on Machine Learning, 9020-9029, 2021
91*2021
HodgeNet: Graph Neural Networks for Edge Data
TM Roddenberry, S Segarra
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 220-224, 2019
532019
Signal processing on cell complexes
TM Roddenberry, MT Schaub, M Hajij
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
392022
Exact blind community detection from signals on multiple graphs
TM Roddenberry, MT Schaub, HT Wai, S Segarra
IEEE Transactions on Signal Processing 68, 5016-5030, 2020
212020
Signal processing on simplicial complexes
MT Schaub, JB Seby, F Frantzen, TM Roddenberry, Y Zhu, S Segarra
Higher-Order Systems, 301-328, 2022
192022
Hodgelets: Localized spectral representations of flows on simplicial complexes
TM Roddenberry, F Frantzen, MT Schaub, S Segarra
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
172022
Blind Inference of Eigenvector Centrality Rankings
TM Roddenberry, S Segarra
IEEE Transactions on Signal Processing 69, 3935-3946, 2021
142021
Blind inference of centrality rankings from graph signals
TM Roddenberry, S Segarra
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
132020
On Local Distributions in Graph Signal Processing
TM Roddenberry, F Gama, RG Baraniuk, S Segarra
IEEE Transactions on Signal Processing 70, 5564-5577, 2022
112022
Network Topology Inference with Graphon Spectral Penalties
TM Roddenberry, M Navarro, S Segarra
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
112021
Enhanced graph-learning schemes driven by similar distributions of motifs
S Rey, TM Roddenberry, S Segarra, AG Marques
IEEE Transactions on Signal Processing, 2023
92023
Network topology change-point detection from graph signals with prior spectral signatures
C Kaushik, TM Roddenberry, S Segarra
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
62021
Limits of Dense Simplicial Complexes
TM Roddenberry, S Segarra
Journal of Machine Learning Research 24 (225), 1-42, 2023
42023
Signal Processing On Product Spaces
TM Roddenberry, VP Grande, F Frantzen, MT Schaub, S Segarra
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering
M Weylandt, TM Roddenberry, GI Allen
2021 IEEE Data Science and Learning Workshop (DSLW), 1-8, 2021
32021
Sampling and Limit Theories for Graph Signal Processing and Large Simplicial Complexes
TM Roddenberry
Rice University, May, 2023
12023
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering
TM Roddenberry, S Segarra
2020 54th Asilomar Conference on Signals, Systems, and Computers, 465-469, 2020
12020
Metric Representations of Networks: A Uniqueness Result
S Segarra, TM Roddenberry, F Mémoli, A Ribeiro
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
12020
An Impossibility Theorem for Node Embedding
TM Roddenberry, Y Zhu, S Segarra
International Conference on Artificial Intelligence and Statistics, 2422-2430, 2024
2024
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Artículos 1–20