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T. Mitchell Roddenberry
T. Mitchell Roddenberry
Postdoctoral Researcher, Rice University
Verified email at rice.edu - Homepage
Title
Cited by
Cited by
Year
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
1092021
Principled simplicial neural networks for trajectory prediction
TM Roddenberry, N Glaze, S Segarra
International Conference on Machine Learning, 9020-9029, 2021
762021
HodgeNet: Graph Neural Networks for Edge Data
TM Roddenberry, S Segarra
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 220-224, 2019
442019
Signal processing on cell complexes
TM Roddenberry, MT Schaub, M Hajij
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
332022
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
202020
Signal processing on simplicial complexes
MT Schaub, JB Seby, F Frantzen, TM Roddenberry, Y Zhu, S Segarra
Higher-Order Systems, 301-328, 2022
162022
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
152022
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
Network Topology Inference with Graphon Spectral Penalties
TM Roddenberry, M Navarro, S Segarra
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
102021
On Local Distributions in Graph Signal Processing
TM Roddenberry, F Gama, RG Baraniuk, S Segarra
IEEE Transactions on Signal Processing 70, 5564-5577, 2022
92022
Enhanced graph-learning schemes driven by similar distributions of motifs
S Rey, TM Roddenberry, S Segarra, AG Marques
IEEE Transactions on Signal Processing, 2023
72023
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
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
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
22023
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
Implicit Neural Representations and the Algebra of Complex Wavelets
TM Roddenberry, V Saragadam, MV de Hoop, RG Baraniuk
arXiv preprint arXiv:2310.00545, 2023
2023
Windowed Fourier Analysis for Signal Processing on Graph Bundles
TM Roddenberry, S Segarra
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
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