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ORCIDT. Mitchell Roddenberry
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2020 – today
- 2024
[c14]T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
An Impossibility Theorem for Node Embedding. AISTATS 2024: 2422-2430- [c13]T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR 2024 - 2023
- [j6]T. Mitchell Roddenberry, Santiago Segarra:
Limits of Dense Simplicial Complexes. J. Mach. Learn. Res. 24: 225:1-225:42 (2023) - [j5]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: 3014-3027 (2023) - [c12]T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Signal Processing On Product Spaces. ICASSP 2023: 1-5 - [c11]T. Mitchell Roddenberry, Santiago Segarra:
Windowed Fourier Analysis for Signal Processing on Graph Bundles. ICASSP 2023: 1-5 - [i18]T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR abs/2310.00545 (2023) - 2022
- [j4]T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra:
On Local Distributions in Graph Signal Processing. IEEE Trans. Signal Process. 70: 5564-5577 (2022) - [c10]T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. ICASSP 2022: 5922-5926 - [c9]T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij:
Signal Processing On Cell Complexes. ICASSP 2022: 8852-8856 - [i17]T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra:
On Local Distributions in Graph Signal Processing. CoRR abs/2202.10649 (2022) - 2021
- [j3]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: 108149 (2021) - [j2]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Eigenvector Centrality Rankings. IEEE Trans. Signal Process. 69: 3935-3946 (2021) - [c8]T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra:
Network Topology Inference with Graphon Spectral Penalties. ICASSP 2021: 5390-5394 - [c7]Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra:
Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. ICASSP 2021: 5395-5399 - [c6]T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. ICML 2021: 9020-9029 - [c5]Michael Weylandt, George Michailidis, T. Mitchell Roddenberry:
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. SSP 2021: 561-565 - [i16]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 abs/2101.05510 (2021) - [i15]Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. CoRR abs/2102.10058 (2021) - [i14]Michael Weylandt, George Michailidis, T. Mitchell Roddenberry:
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. CoRR abs/2104.02810 (2021) - [i13]T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
An Impossibility Theorem for Node Embedding. CoRR abs/2105.13251 (2021) - [i12]Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
Signal processing on simplicial complexes. CoRR abs/2106.07471 (2021) - [i11]T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes. CoRR abs/2109.08728 (2021) - [i10]T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij:
Signal Processing on Cell Complexes. CoRR abs/2110.05614 (2021) - 2020
- [j1]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: 5016-5030 (2020) - [c4]T. Mitchell Roddenberry, Santiago Segarra:
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. ACSSC 2020: 465-469 - [c3]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Centrality Rankings from Graph Signals. ICASSP 2020: 5335-5339 - [c2]Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. ICASSP 2020: 5345-5349 - [i9]T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra:
Exact Blind Community Detection from Signals on Multiple Graphs. CoRR abs/2001.10944 (2020) - [i8]T. Mitchell Roddenberry, Santiago Segarra:
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. CoRR abs/2005.00659 (2020) - [i7]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Eigenvector Centrality Rankings. CoRR abs/2008.11330 (2020) - [i6]Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra:
Network topology change-point detection from graph signals with prior spectral signatures. CoRR abs/2010.11345 (2020) - [i5]Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen:
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. CoRR abs/2012.04762 (2020) - [i4]T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis:
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets. CoRR abs/2012.09768 (2020)
2010 – 2019
- 2019
- [c1]T. Mitchell Roddenberry, Santiago Segarra:
HodgeNet: Graph Neural Networks for Edge Data. ACSSC 2019: 220-224 - [i3]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Centrality Rankings from Graph Signals. CoRR abs/1910.10846 (2019) - [i2]Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. CoRR abs/1911.00164 (2019) - [i1]T. Mitchell Roddenberry, Santiago Segarra:
HodgeNet: Graph Neural Networks for Edge Data. CoRR abs/1912.02354 (2019)
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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