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T. Mitchell Roddenberry
T. Mitchell Roddenberry
Postdoctoral Researcher, Rice University
Zweryfikowany adres z rice.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1552021
Principled simplicial neural networks for trajectory prediction
TM Roddenberry, N Glaze, S Segarra
International Conference on Machine Learning, 9020-9029, 2021
1102021
HodgeNet: Graph Neural Networks for Edge Data
TM Roddenberry, S Segarra
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 220-224, 2019
562019
Signal processing on cell complexes
TM Roddenberry, MT Schaub, M Hajij
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
482022
Signal processing on simplicial complexes
MT Schaub, JB Seby, F Frantzen, TM Roddenberry, Y Zhu, S Segarra
Higher-Order Systems, 301-328, 2022
262022
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
222022
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
Blind Inference of Eigenvector Centrality Rankings
TM Roddenberry, S Segarra
IEEE Transactions on Signal Processing 69, 3935-3946, 2021
162021
Enhanced graph-learning schemes driven by similar distributions of motifs
S Rey, TM Roddenberry, S Segarra, AG Marques
IEEE Transactions on Signal Processing, 2023
152023
Network Topology Inference with Graphon Spectral Penalties
TM Roddenberry, M Navarro, S Segarra
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
132021
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
122022
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
52023
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
42021
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
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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