mitch roddenberry

pubs files potpourri

published

1. TMR, Yu Zhu, Santiago Segarra
   An Impossibility Theorem for Node Embedding.
   Artificial Intelligence and Statistics, May 2024.
   [ arXiv URL ]
2. TMR, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
   Implicit Neural Representations and the Algebra of Complex Wavelets.
   International Conference on Learning Representations, May 2024.
   [ arXiv ]
3. Samuel Rey, TMR, Santiago Segarra, Antonio G. Marques
   Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs.
   IEEE Transactions on Signal Processing, Aug 2023.
   [ DOI arXiv ]
4. TMR, Santiago Segarra
   Limits of Dense Simplicial Complexes.
   Journal of Machine Learning Research, Jul 2023.
   [ arXiv URL ]
5. TMR, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra
   Signal Processing on Product Spaces.
   IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023.
   [ DOI arXiv ]
6. TMR, Santiago Segarra
   Windowed Fourier Analysis for Signal Processing on Graph Bundles.
   IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023.
   [ DOI arXiv ]
7. TMR, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
   On Local Distributions in Graph Signal Processing.
   IEEE Transactions on Signal Processing, Nov 2022.
   [ DOI arXiv ]
8. TMR, Florian Frantzen, Michael T. Schaub, Santiago Segarra
   Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes.
   IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022.
   [ DOI arXiv code ]
9. TMR, Mustafa Hajij, Michael T. Schaub
   Signal Processing on Cell Complexes.
   IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022.
   [ DOI arXiv ]
10. Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, TMR, Yu Zhu, Santiago Segarra
    Signal processing on simplicial complexes.
    Higher-order Systems, Jan 2022.
    [ DOI arXiv ]
11. Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, TMR, Santiago Segarra
    Signal processing on higher-order networks: Livin' on the edge... and beyond.
    Signal Processing, Oct 2021.
    [ DOI arXiv ]
12. TMR, Nicholas Glaze, Santiago Segarra
    Principled Simplicial Neural Networks for Trajectory Prediction.
    International Conference on Machine Learning, Jul 2021.
    [ arXiv code URL ]
13. Michael Weylandt, George Michailidis, TMR
    Sparse Partial Least Squares for Coarse Noisy Graph Alignment.
    IEEE Statistical Signal Processing Workshop, Jul 2021.
    [ DOI arXiv ]
14. TMR, Santiago Segarra
    Blind Inference of Eigenvector Centrality Rankings.
    IEEE Transactions on Signal Processing, Jun 2021.
    [ DOI arXiv ]
15. Chiraag Kaushik, TMR, Santiago Segarra
    Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures.
    IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021.
    [ DOI arXiv code ]
16. TMR, Madeline Navarro, Santiago Segarra
    Network Topology Inference with Graphon Spectral Penalties.
    IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021.
    [ DOI arXiv code ]
17. Michael Weylandt, TMR, Genevera I. Allen
    Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering.
    IEEE Data Science & Learning Workshop, Jun 2021.
    [ DOI arXiv ]
18. TMR, Santiago Segarra
    Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering.
    Asilomar Conference on Signals, Systems, and Computers, Nov 2020.
    [ DOI arXiv ]
19. TMR, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
    Exact Blind Community Detection From Signals on Multiple Graphs.
    IEEE Transactions on Signal Processing, Aug 2020.
    [ DOI arXiv ]
20. TMR, Santiago Segarra
    Blind Inference of Centrality Rankings from Graph Signals.
    IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020.
    [ DOI arXiv ]
21. Santiago Segarra, TMR, Facundo Memoli, Alejandro Ribeiro
    Metric Representations of Networks: A Uniqueness Result.
    IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020.
    [ DOI arXiv ]
22. TMR, Santiago Segarra
    HodgeNet: Graph Neural Networks for Edge Data.
    Asilomar Conference on Signals, Systems, and Computers, Nov 2019.
    [ DOI arXiv ]

preprints

1. TMR, Santiago Segarra, Anastasios Kyrillidis
   Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets.
   (preprint), Dec 2020.
   [ arXiv code ]

theses

1. TMR
   Sampling and Limit Theories for Graph Signal Processing and Large Simplicial Complexes.
   Rice University Doctoral Dissertation, May 2023.
   [ URL ]
2. TMR
   Blind Network Inference.
   Rice University Master's Thesis, Aug 2021.
   [ URL ]