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Santiago Segarra
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2020 – today
- 2024
- [j48]Lisa O'Bryan, Tim Oxendahl, Xu Chen, Daniel McDuff, Santiago Segarra
, Matthew A. Wettergreen
, Margaret E. Beier, Ashutosh Sabharwal:
Objective Communication Patterns Associated With Team Member Effectiveness in Real-World Virtual Teams. Hum. Factors 66(5): 1414-1430 (2024) - [j47]Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra:
A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. 39(1): 3-4 (2024) - [j46]Madeline Navarro
, Samuel Rey
, Andrei Buciulea
, Antonio G. Marques
, Santiago Segarra
:
Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. 72: 2710-2725 (2024) - [j45]Arindam Chowdhury
, Gunjan Verma, Ananthram Swami, Santiago Segarra
:
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. IEEE Trans. Wirel. Commun. 23(5): 4889-4903 (2024) - [j44]Boning Li
, Jake B. Perazzone
, Ananthram Swami, Santiago Segarra
:
Learning to Transmit With Provable Guarantees in Wireless Federated Learning. IEEE Trans. Wirel. Commun. 23(7): 7439-7455 (2024) - [c105]Martin Sevilla, Antonio G. Marques, Santiago Segarra:
Estimation of partially known Gaussian graphical models with score-based structural priors. AISTATS 2024: 1558-1566 - [c104]T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
An Impossibility Theorem for Node Embedding. AISTATS 2024: 2422-2430 - [c103]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. ICASSP 2024: 7350-7354 - [c102]Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra:
Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks. ICASSP 2024: 8951-8955 - [c101]Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira:
End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. ICASSP 2024: 9701-9705 - [c100]Martin Sevilla, Santiago Segarra:
Bayesian Topology Inference on Partially Known Networks from Input-Output Pairs. ICASSP 2024: 9721-9725 - [c99]Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Recovering Missing Node Features with Local Structure-Based Embeddings. ICASSP 2024: 9931-9935 - [c98]Nicolas Zilberstein, Ananthram Swami, Santiago Segarra:
Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models. ICASSP 2024: 13291-13295 - [c97]Madeline Navarro, Santiago Segarra:
SC-MAD: Mixtures of Higher-Order Networks for Data Augmentation. ICASSP 2024: 13446-13450 - [c96]Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula:
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. NSDI 2024 - [c95]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula:
Finding Adversarial Inputs for Heuristics using Multi-level Optimization. NSDI 2024 - [c94]Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj:
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. NSDI 2024 - [c93]Ali Azizpour, Advait Balaji, Todd J. Treangen, Santiago Segarra:
GraSSRep: Graph-Based Self-supervised Learning for Repeat Detection in Metagenomic Assembly. RECOMB 2024: 372-376 - [i93]Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learning Non-myopic Power Allocation in Constrained Scenarios. CoRR abs/2401.10297 (2024) - [i92]Martin Sevilla, Antonio Garcia Marques, Santiago Segarra:
Estimation of partially known Gaussian graphical models with score-based structural priors. CoRR abs/2401.14340 (2024) - [i91]Ali Azizpour, Advait Balaji, Todd J. Treangen, Santiago Segarra:
GraSSRep: Graph-Based Self-Supervised Learning for Repeat Detection in Metagenomic Assembly. CoRR abs/2402.09381 (2024) - [i90]Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra:
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR abs/2406.09513 (2024) - [i89]Nicolas Zilberstein, Morteza Mardani, Santiago Segarra:
Repulsive Score Distillation for Diverse Sampling of Diffusion Models. CoRR abs/2406.16683 (2024) - [i88]Carlos A. Taveras, Santiago Segarra, César A. Uribe:
Efficient Path Planning with Soft Homology Constraints. CoRR abs/2406.19551 (2024) - 2023
- [j43]Lechuan Li
, Ruth Dannenfelser
, Yu Zhu, Nathaniel Hejduk, Santiago Segarra, Vicky Yao:
Joint embedding of biological networks for cross-species functional alignment. Bioinform. 39(9) (2023) - [j42]Yu Zhu, Santiago Segarra:
Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering. Frontiers Big Data 6 (2023) - [j41]T. Mitchell Roddenberry, Santiago Segarra:
Limits of Dense Simplicial Complexes. J. Mach. Learn. Res. 24: 225:1-225:42 (2023) - [j40]Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra:
"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. Digit. Scholarsh. Humanit. 38(4): 1494-1507 (2023) - [j39]Yu Zhu
, Ananthram Swami, Santiago Segarra
:
Free Energy Node Embedding via Generalized Skip-Gram With Negative Sampling. IEEE Trans. Knowl. Data Eng. 35(8): 8024-8036 (2023) - [j38]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) - [j37]Fernando Gama
, Nicolas Zilberstein
, Martin Sevilla
, Richard G. Baraniuk
, Santiago Segarra
:
Unsupervised Learning of Sampling Distributions for Particle Filters. IEEE Trans. Signal Process. 71: 3852-3866 (2023) - [j36]Boning Li
, Gunjan Verma, Santiago Segarra
:
Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks. IEEE Trans. Wirel. Commun. 22(2): 1359-1373 (2023) - [j35]Nicolas Zilberstein
, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal
, Santiago Segarra
:
Annealed Langevin Dynamics for Massive MIMO Detection. IEEE Trans. Wirel. Commun. 22(6): 3762-3776 (2023) - [j34]Zhongyuan Zhao
, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
:
Link Scheduling Using Graph Neural Networks. IEEE Trans. Wirel. Commun. 22(6): 3997-4012 (2023) - [c92]Qing An, Mehdi Zafari, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, Rahman Doost-Mohammady:
ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO. ACSSC 2023: 157-161 - [c91]Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learning Non-myopic Power Allocation in Constrained Scenarios. ACSSC 2023: 804-808 - [c90]Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra:
State and Dynamics Estimation with the Kalman-Langevin filter. ACSSC 2023: 1372-1376 - [c89]Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Enhanced Backpressure Routing Using Wireless Link Features. CAMSAP 2023: 271-275 - [c88]Sathiya Kumaran Mani
, Yajie Zhou
, Kevin Hsieh
, Santiago Segarra
, Trevor Eberl
, Eliran Azulai
, Ido Frizler
, Ranveer Chandra
, Srikanth Kandula
:
Enhancing Network Management Using Code Generated by Large Language Models. HotNets 2023: 196-204 - [c87]Sathiya Kumaran Mani
, Kevin Hsieh
, Santiago Segarra
, Trevor Eberl
, Ranveer Chandra
, Eliran Azulai
, Narayan Annamalai
, Deepak Bansal
, Srikanth Kandula
:
Securing Public Clouds using Dynamic Communication Graphs. HotNets 2023: 272-279 - [c86]Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra:
Graph Representation Learning For Stroke Recurrence Prediction. ICASSP 2023: 1-5 - [c85]Madeline Navarro, Santiago Segarra:
Graphmad: Graph Mixup for Data Augmentation Using Data-Driven Convex Clustering. ICASSP 2023: 1-5 - [c84]T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Signal Processing On Product Spaces. ICASSP 2023: 1-5 - [c83]T. Mitchell Roddenberry, Santiago Segarra:
Windowed Fourier Analysis for Signal Processing on Graph Bundles. ICASSP 2023: 1-5 - [c82]Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Delay-Aware Backpressure Routing Using Graph Neural Networks. ICASSP 2023: 1-5 - [c81]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics. ICASSP 2023: 1-5 - [c80]Zhongyuan Zhao
, Ananthram Swami, Santiago Segarra:
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems. ICLR 2023 - [c79]Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learnable Digital Twin for Efficient Wireless Network Evaluation. MILCOM 2023: 661-666 - [i87]Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas:
Conversational Turn-taking as a Stochastic Process on Networks. CoRR abs/2301.04030 (2023) - [i86]Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady:
A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks. CoRR abs/2303.00958 (2023) - [i85]Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. CoRR abs/2304.00446 (2023) - [i84]Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra:
Learning to Transmit with Provable Guarantees in Wireless Federated Learning. CoRR abs/2304.09329 (2023) - [i83]Yu Zhu, Boning Li, Santiago Segarra:
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian. CoRR abs/2305.00462 (2023) - [i82]Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learnable Digital Twin for Efficient Wireless Network Evaluation. CoRR abs/2306.06574 (2023) - [i81]Boning Li, Gojko Cutura, Ananthram Swami, Santiago Segarra:
Deep Demixing: Reconstructing the Evolution of Network Epidemics. CoRR abs/2306.07938 (2023) - [i80]Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula:
Enhancing Network Management Using Code Generated by Large Language Models. CoRR abs/2308.06261 (2023) - [i79]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. CoRR abs/2309.07110 (2023) - [i78]Madeline Navarro, Santiago Segarra:
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation. CoRR abs/2309.07453 (2023) - [i77]Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Recovering Missing Node Features with Local Structure-based Embeddings. CoRR abs/2309.09068 (2023) - [i76]Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Enhanced Backpressure Routing Using Wireless Link Features. CoRR abs/2310.04364 (2023) - [i75]Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj:
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. CoRR abs/2310.09699 (2023) - [i74]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula:
Finding Adversarial Inputs for Heuristics using Multi-level Optimization. CoRR abs/2311.12779 (2023) - [i73]Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra:
Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks. CoRR abs/2312.02471 (2023) - 2022
- [j33]Yu Zhu, Santiago Segarra
:
Hypergraph cuts with edge-dependent vertex weights. Appl. Netw. Sci. 7(1): 45 (2022) - [j32]Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra:
Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. 23: 76:1-76:35 (2022) - [j31]Paul Brown, Mark Eisen, Santiago Segarra
, Alejandro Ribeiro
, Gabriel Egan:
How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. 37(2): 321-335 (2022) - [j30]Madeline Navarro
, Santiago Segarra
:
Joint Network Topology Inference Via a Shared Graphon Model. IEEE Trans. Signal Process. 70: 5549-5563 (2022) - [j29]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) - [j28]Samuel Rey
, Santiago Segarra
, Reinhard Heckel
, Antonio G. Marques
:
Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. 70: 5708-5723 (2022) - [c78]Samuel Rey, Madeline Navarro, Andrei Buciulea
, Santiago Segarra, Antonio G. Marques
:
Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF 2022: 53-57 - [c77]Yu Zhu, Boning Li, Santiago Segarra:
Hypergraph 1-Spectral Clustering with General Submodular Weights. IEEECONF 2022: 935-939 - [c76]Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas:
Conversational Turn-taking as a Stochastic Process on Networks. IEEECONF 2022: 1243-1247 - [c75]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Robust MIMO Detection using Hypernetworks with Learned Regularizers. EUSIPCO 2022: 1626-1630 - [c74]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics. EUSIPCO 2022: 1651-1655 - [c73]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra
, Himanshu Raj, Srikanth Kandula:
Minding the gap between fast heuristics and their optimal counterparts. HotNets 2022: 138-144 - [c72]Boning Li, Ananthram Swami, Santiago Segarra
:
Power Allocation for Wireless Federated Learning Using Graph Neural Networks. ICASSP 2022: 5243-5247 - [c71]Arindam Chowdhury, Fernando Gama, Santiago Segarra
:
Stability Analysis of Unfolded WMMSE for Power Allocation. ICASSP 2022: 5298-5302 - [c70]Zhongyuan Zhao
, Ananthram Swami, Santiago Segarra
:
Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. ICASSP 2022: 5308-5312 - [c69]Madeline Navarro, Santiago Segarra
:
Graphon-Aided Joint Estimation of Multiple Graphs. ICASSP 2022: 5458-5462 - [c68]Artun Bayer, Arindam Chowdhury, Santiago Segarra
:
Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. ICASSP 2022: 5483-5487 - [c67]Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
:
Unrolling Particles: Unsupervised Learning of Sampling Distributions. ICASSP 2022: 5498-5502 - [c66]Samuel Rey
, Andrei Buciulea
, Madeline Navarro, Santiago Segarra
, Antonio G. Marques
:
Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP 2022: 5817-5821 - [c65]T. Mitchell Roddenberry, Florian Frantzen
, Michael T. Schaub, Santiago Segarra
:
Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. ICASSP 2022: 5922-5926 - [c64]Yu Zhu, Boning Li, Santiago Segarra
:
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. ICASSP 2022: 8837-8841 - [c63]Zhongyuan Zhao
, Gunjan Verma, Ananthram Swami, Santiago Segarra
:
Delay-Oriented Distributed Scheduling Using Graph Neural Networks. ICASSP 2022: 8902-8906 - [c62]Benjamin Coleman, Santiago Segarra, Alexander J. Smola, Anshumali Shrivastava:
Graph Reordering for Cache-Efficient Near Neighbor Search. NeurIPS 2022 - [i72]Yu Zhu, Santiago Segarra:
Hypergraph Cuts with Edge-Dependent Vertex Weights. CoRR abs/2201.06084 (2022) - [i71]Boning Li, Gunjan Verma, Santiago Segarra:
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks. CoRR abs/2201.11799 (2022) - [i70]Madeline Navarro, Santiago Segarra:
Graphon-aided Joint Estimation of Multiple Graphs. CoRR abs/2202.05686 (2022) - [i69]T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra:
On Local Distributions in Graph Signal Processing. CoRR abs/2202.10649 (2022) - [i68]Zhongyuan Zhao, Ananthram Swami, Santiago Segarra:
Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. CoRR abs/2203.14339 (2022) - [i67]Yu Zhu, Santiago Segarra
:
Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering. CoRR abs/2208.07457 (2022) - [i66]Madeline Navarro, Santiago Segarra
:
Joint Network Topology Inference via a Shared Graphon Model. CoRR abs/2209.08223 (2022) - [i65]Madeline Navarro, Santiago Segarra
:
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering. CoRR abs/2210.15721 (2022) - [i64]Negar Erfanian, Santiago Segarra
, Maarten V. de Hoop:
Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers. CoRR abs/2211.02922 (2022) - [i63]Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra
:
Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR abs/2211.08854 (2022) - [i62]Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra
:
Delay-aware Backpressure Routing Using Graph Neural Networks. CoRR abs/2211.10748 (2022) - [i61]Samuel Rey
, Madeline Navarro, Andrei Buciulea
, Santiago Segarra
, Antonio G. Marques
:
Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR abs/2212.01816 (2022) - 2021
- [j27]Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra
:
Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. SIAM J. Appl. Algebra Geom. 5(4): 675-700 (2021) - [j26]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) - [j25]David Ramírez
, Antonio G. Marques
, Santiago Segarra
:
Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs. Signal Process. 188: 108180 (2021) - [j24]T. Mitchell Roddenberry
, Santiago Segarra
:
Blind Inference of Eigenvector Centrality Rankings. IEEE Trans. Signal Process. 69: 3935-3946 (2021) - [j23]Arindam Chowdhury
, Gunjan Verma, Chirag Rao
, Ananthram Swami, Santiago Segarra
:
Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation. IEEE Trans. Wirel. Commun. 20(9): 6004-6017 (2021) - [c61]Yu Zhu, Ananthram Swami, Santiago Segarra
:
Node Embedding based on the Free Energy Distance. ACSCC 2021: 187-191 - [c60]Boning Li, Gunjan Verma, Chirag Rao, Santiago Segarra
:
Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. ACSCC 2021: 732-736 - [c59]Victor M. Tenorio
, Samuel Rey
, Fernando Gama, Santiago Segarra
, Antonio G. Marques
:
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC 2021: 1573-1578 - [c58]Yu Zhu, Boning Li, Santiago Segarra
:
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. EUSIPCO 2021: 1416-1420 - [c57]Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra
:
Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks. EUSIPCO 2021: 2204-2208 - [c56]Zhongyuan Zhao
, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
:
Distributed Scheduling Using Graph Neural Networks. ICASSP 2021: 4720-4724 - [c55]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
:
Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. ICASSP 2021: 4725-4729 - [c54]Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
:
Adaptive Contention Window Design Using Deep Q-Learning. ICASSP 2021: 4950-4954 - [c53]T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra
:
Network Topology Inference with Graphon Spectral Penalties. ICASSP 2021: 5390-5394 - [c52]Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
:
Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. ICASSP 2021: 5395-5399 - [c51]T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. ICML 2021: 9020-9029 - [c50]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
:
ML-aided power allocation for Tactical MIMO. MILCOM 2021: 273-278 - [i60]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) - [i59]Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. CoRR abs/2102.10058 (2021) - [i58]Yu Zhu, Boning Li, Santiago Segarra:
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. CoRR abs/2102.10169 (2021) - [i57]Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR abs/2102.10424 (2021) - [i56]Benjamin Coleman, Santiago Segarra, Anshumali Shrivastava, Alex Smola:
Graph Reordering for Cache-Efficient Near Neighbor Search. CoRR abs/2104.03221 (2021) - [i55]Yu Zhu, Ananthram Swami, Santiago Segarra:
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling. CoRR abs/2105.09182 (2021) - [i54]T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
An Impossibility Theorem for Node Embedding. CoRR abs/2105.13251 (2021) - [i53]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) - [i52]Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra:
Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. CoRR abs/2108.07247 (2021) - [i51]Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Link Scheduling using Graph Neural Networks. CoRR abs/2109.05536 (2021) - [i50]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
ML-aided power allocation for Tactical MIMO. CoRR abs/2109.06992 (2021) - [i49]T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes. CoRR abs/2109.08728 (2021) - [i48]Samuel Rey
, Santiago Segarra, Reinhard Heckel, Antonio G. Marques:
Untrained Graph Neural Networks for Denoising. CoRR abs/2109.11700 (2021) - [i47]Victor M. Tenorio, Samuel Rey
, Fernando Gama, Santiago Segarra, Antonio G. Marques:
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR abs/2110.00844 (2021) - [i46]Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra:
Unrolling Particles: Unsupervised Learning of Sampling Distributions. CoRR abs/2110.02915 (2021) - [i45]Samuel Rey
, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR abs/2110.03666 (2021) - [i44]Artun Bayer, Arindam Chowdhury, Santiago Segarra:
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels. CoRR abs/2110.03763 (2021) - [i43]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Robust MIMO Detection using Hypernetworks with Learned Regularizers. CoRR abs/2110.07053 (2021) - [i42]Arindam Chowdhury, Fernando Gama, Santiago Segarra:
Stability Analysis of Unfolded WMMSE for Power Allocation. CoRR abs/2110.07471 (2021) - [i41]Boning Li, Ananthram Swami, Santiago Segarra:
Power Allocation for Wireless Federated Learning using Graph Neural Networks. CoRR abs/2111.07480 (2021) - 2020
- [j22]Bishal Lamichhane
, Yejin Kim, Santiago Segarra
, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang:
Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. 20-S(12): 327 (2020) - [j21]Michael T. Schaub
, Santiago Segarra, John N. Tsitsiklis:
Blind Identification of Stochastic Block Models from Dynamical Observations. SIAM J. Math. Data Sci. 2(2): 335-367 (2020) - [j20]Antonio G. Marques
, Santiago Segarra
, Gonzalo Mateos
:
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. IEEE Signal Process. Mag. 37(6): 99-116 (2020) - [j19]Marco Avella-Medina
, Francesca Parise
, Michael T. Schaub
, Santiago Segarra
:
Centrality Measures for Graphons: Accounting for Uncertainty in Networks. IEEE Trans. Netw. Sci. Eng. 7(1): 520-537 (2020) - [j18]Yu Zhu
, Michael T. Schaub
, Ali Jadbabaie
, Santiago Segarra
:
Network Inference From Consensus Dynamics With Unknown Parameters. IEEE Trans. Signal Inf. Process. over Networks 6: 300-315 (2020) - [j17]Hoi-To Wai
, Santiago Segarra
, Asuman E. Ozdaglar
, Anna Scaglione
, Ali Jadbabaie
:
Blind Community Detection From Low-Rank Excitations of a Graph Filter. IEEE Trans. Signal Process. 68: 436-451 (2020) - [j16]Yu Zhu
, Fernando Jose Iglesias Garcia, Antonio G. Marques
, Santiago Segarra
:
Estimating Network Processes via Blind Identification of Multiple Graph Filters. IEEE Trans. Signal Process. 68: 3049-3063 (2020) - [j15]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) - [c49]T. Mitchell Roddenberry, Santiago Segarra
:
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. ACSSC 2020: 465-469 - [c48]T. Mitchell Roddenberry, Santiago Segarra
:
Blind Inference of Centrality Rankings from Graph Signals. ICASSP 2020: 5335-5339 - [c47]Santiago Segarra
, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
:
Metric Representations of Networks: A Uniqueness Result. ICASSP 2020: 5345-5349 - [c46]Amarlingam Madapu, Santiago Segarra
, Sundeep Prabhakar Chepuri, Antonio G. Marques
:
Generative Adversarial Networks for Graph Data Imputation from Signed Observations. ICASSP 2020: 9085-9089 - [i40]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) - [i39]T. Mitchell Roddenberry, Santiago Segarra:
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. CoRR abs/2005.00659 (2020) - [i38]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Eigenvector Centrality Rankings. CoRR abs/2008.11330 (2020) - [i37]Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra:
Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR abs/2010.08120 (2020) - [i36]Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra:
Network topology change-point detection from graph signals with prior spectral signatures. CoRR abs/2010.11345 (2020) - [i35]Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Adaptive Contention Window Design using Deep Q-learning. CoRR abs/2011.09418 (2020) - [i34]Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Distributed Scheduling using Graph Neural Networks. CoRR abs/2011.09430 (2020) - [i33]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Efficient power allocation using graph neural networks and deep algorithm unfolding. CoRR abs/2012.02250 (2020) - [i32]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
- [j14]Gonzalo Mateos
, Santiago Segarra
, Antonio G. Marques
, Alejandro Ribeiro
:
Connecting the Dots: Identifying Network Structure via Graph Signal Processing. IEEE Signal Process. Mag. 36(3): 16-43 (2019) - [c45]T. Mitchell Roddenberry, Santiago Segarra:
HodgeNet: Graph Neural Networks for Edge Data. ACSSC 2019: 220-224 - [c44]Samuel Rey
, Antonio G. Marques
, Santiago Segarra:
An Underparametrized Deep Decoder Architecture for Graph Signals. CAMSAP 2019: 231-235 - [c43]Michael T. Schaub
, Santiago Segarra
, Hoi-To Wai:
Spectral Partitioning of Time-varying Networks with Unobserved Edges. ICASSP 2019: 4938-4942 - [c42]Yu Zhu, Fernando Jose Iglesias Garcia
, Antonio G. Marques
, Santiago Segarra
:
Estimation of Network Processes via Blind Graph Multi-filter Identification. ICASSP 2019: 5451-5455 - [c41]Cristina Heghedus, Santiago Segarra, Antorweep Chakravorty, Chunming Rong
:
Neural Network Architectures for Electricity Consumption Forecasting. iThings/GreenCom/CPSCom/SmartData 2019: 776-783 - [c40]Junteng Jia, Michael T. Schaub
, Santiago Segarra
, Austin R. Benson:
Graph-based Semi-Supervised & Active Learning for Edge Flows. KDD 2019: 761-771 - [i31]Michael T. Schaub, Santiago Segarra, Hoi-To Wai:
Spectral partitioning of time-varying networks with unobserved edges. CoRR abs/1904.11930 (2019) - [i30]Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson:
Graph-based Semi-Supervised & Active Learning for Edge Flows. CoRR abs/1905.07451 (2019) - [i29]Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis:
Blind identification of stochastic block models from dynamical observations. CoRR abs/1905.09107 (2019) - [i28]Samuel Rey
, Antonio G. Marqués, Santiago Segarra:
An Underparametrized Deep Decoder Architecture for Graph Signals. CoRR abs/1908.00878 (2019) - [i27]Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra:
Network Inference from Consensus Dynamics with Unknown Parameters. CoRR abs/1908.01393 (2019) - [i26]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Centrality Rankings from Graph Signals. CoRR abs/1910.10846 (2019) - [i25]Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. CoRR abs/1911.00164 (2019) - [i24]T. Mitchell Roddenberry, Santiago Segarra:
HodgeNet: Graph Neural Networks for Edge Data. CoRR abs/1912.02354 (2019) - 2018
- [j13]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro
, Santiago Segarra
:
Hierarchical clustering of asymmetric networks. Adv. Data Anal. Classif. 12(1): 65-105 (2018) - [j12]Mark Eisen, Alejandro Ribeiro
, Santiago Segarra
, Gabriel Egan:
Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. 33(3): 500-528 (2018) - [j11]Fernando Gama
, Santiago Segarra
, Alejandro Ribeiro
:
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. IEEE Trans. Signal Inf. Process. over Networks 4(2): 392-406 (2018) - [c39]Rasoul Shafipour, Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos:
Directed Network Topology Inference via Graph Filter Identification. DSW 2018: 210-214 - [c38]Michael T. Schaub
, Santiago Segarra
:
Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. GlobalSIP 2018: 735-739 - [c37]Jingkang Yang, Santiago Segarra
:
Enhancing Geometric Deep Learning via Graph Filter Deconvolution. GlobalSIP 2018: 758-762 - [c36]Hoi-To Wai, Santiago Segarra
, Asuman E. Ozdaglar, Anna Scaglione
, Ali Jadbabaie:
Community Detection from Low-Rank Excitations of a Graph Filter. ICASSP 2018: 4044-4048 - [c35]Rasoul Shafipour, Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos:
Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP 2018: 4049-4053 - [c34]Fernando Jose Iglesias Garcia
, Santiago Segarra
, Samuel Rey-Escudero
, Antonio G. Marques
, David Ramírez
:
Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. ICASSP 2018: 4189-4193 - [c33]Santiago Segarra
, Antonio G. Marques
, Mohak Goyal, Samuel Rey-Escudero
:
Network Topology Inference From Input-Output Diffusion Pairs. SSP 2018: 508-512 - [i23]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR abs/1801.03862 (2018) - [i22]Michael T. Schaub, Santiago Segarra:
Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. CoRR abs/1808.02111 (2018) - [i21]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection from Low-rank Excitations of a Graph Filter. CoRR abs/1809.01485 (2018) - 2017
- [j10]Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos
, Alejandro Ribeiro
:
Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks 3(3): 467-483 (2017) - [j9]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro
, Santiago Segarra
:
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. IEEE Trans. Signal Inf. Process. over Networks 3(4): 711-727 (2017) - [j8]Santiago Segarra
, Gonzalo Mateos
, Antonio G. Marques
, Alejandro Ribeiro
:
Blind Identification of Graph Filters. IEEE Trans. Signal Process. 65(5): 1146-1159 (2017) - [j7]Santiago Segarra
, Antonio G. Marques
, Alejandro Ribeiro
:
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators. IEEE Trans. Signal Process. 65(15): 4117-4131 (2017) - [j6]Antonio G. Marques
, Santiago Segarra
, Geert Leus
, Alejandro Ribeiro
:
Stationary Graph Processes and Spectral Estimation. IEEE Trans. Signal Process. 65(22): 5911-5926 (2017) - [c32]Santiago Segarra
, Yuhao Wang, Caroline Uhler, Antonio G. Marques
:
Joint inference of networks from stationary graph signals. ACSSC 2017: 975-979 - [c31]Santiago Segarra
, Antonio G. Marques
, Gonzalo R. Arce
, Alejandro Ribeiro
:
Design of weighted median graph filters. CAMSAP 2017: 1-5 - [c30]Santiago Segarra
, Michael T. Schaub
, Ali Jadbabaie:
Network inference from consensus dynamics. CDC 2017: 3212-3217 - [c29]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Stationary graph processes: Parametric power spectral estimation. ICASSP 2017: 4099-4103 - [c28]David Ramírez
, Antonio G. Marques
, Santiago Segarra
:
Graph-signal reconstruction and blind deconvolution for diffused sparse inputs. ICASSP 2017: 4104-4108 - [c27]Rasoul Shafipour, Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos
:
Network topology inference from non-stationary graph signals. ICASSP 2017: 5870-5874 - [c26]Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos
, Alejandro Ribeiro
:
Robust network topology inference. ICASSP 2017: 6518-6522 - [i20]Geert Leus, Santiago Segarra, Alejandro Ribeiro, Antonio G. Marques:
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. CoRR abs/1705.08987 (2017) - [i19]Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra:
Centrality measures for graphons. CoRR abs/1707.09350 (2017) - [i18]Santiago Segarra, Michael T. Schaub, Ali Jadbabaie:
Network Inference from Consensus Dynamics. CoRR abs/1708.05329 (2017) - 2016
- [j5]Santiago Segarra
, Alejandro Ribeiro
:
Stability and Continuity of Centrality Measures in Weighted Graphs. IEEE Trans. Signal Process. 64(3): 543-555 (2016) - [j4]Antonio G. Marques
, Santiago Segarra
, Geert Leus
, Alejandro Ribeiro
:
Sampling of Graph Signals With Successive Local Aggregations. IEEE Trans. Signal Process. 64(7): 1832-1843 (2016) - [j3]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Reconstruction of Graph Signals Through Percolation from Seeding Nodes. IEEE Trans. Signal Process. 64(16): 4363-4378 (2016) - [c25]Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos
, Alejandro Ribeiro
:
Network topology identification from imperfect spectral templates. ACSSC 2016: 1465-1469 - [c24]Santiago Segarra
, Antonio G. Marques
, Gonzalo R. Arce
, Alejandro Ribeiro
:
Center-weighted median graph filters. GlobalSIP 2016: 336-340 - [c23]Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos
, Alejandro Ribeiro
:
Blind identification of graph filters with multiple sparse inputs. ICASSP 2016: 4099-4103 - [c22]Jeremy Ma, Weiyu Huang, Santiago Segarra
, Alejandro Ribeiro
:
Diffusion filtering of graph signals and its use in recommendation systems. ICASSP 2016: 4563-4567 - [c21]Santiago Segarra
, Antonio G. Marques
, Alejandro Ribeiro
:
Linear network operators using node-variant graph filters. ICASSP 2016: 4850-4854 - [c20]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Space-shift sampling of graph signals. ICASSP 2016: 6355-6359 - [c19]Fernando Gama, Santiago Segarra
, Alejandro Ribeiro
:
Overlapping clustering of network data using cut metrics. ICASSP 2016: 6415-6419 - [c18]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Stationary graph processes: Nonparametric spectral estimation. SAM 2016: 1-5 - [c17]Santiago Segarra
, Antonio G. Marques
, Gonzalo Mateos
, Alejandro Ribeiro
:
Network topology identification from spectral templates. SSP 2016: 1-5 - [i17]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Stationary Graph Processes and Spectral Estimation. CoRR abs/1603.04667 (2016) - [i16]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Identification from Spectral Templates. CoRR abs/1604.02610 (2016) - [i15]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. CoRR abs/1604.07234 (2016) - [i14]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Clustering of Asymmetric Networks. CoRR abs/1607.06294 (2016) - [i13]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. CoRR abs/1607.06335 (2016) - [i12]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Excisive Hierarchical Clustering Methods for Network Data. CoRR abs/1607.06339 (2016) - [i11]Santiago Segarra, Antonio G. Marques
, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. CoRR abs/1608.03008 (2016) - [i10]Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro:
Stylometric Analysis of Early Modern Period English Plays. CoRR abs/1610.05670 (2016) - [i9]Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. CoRR abs/1611.01393 (2016) - 2015
- [j2]Santiago Segarra
, Weiyu Huang, Alejandro Ribeiro
:
Diffusion and Superposition Distances for Signals Supported on Networks. IEEE Trans. Signal Inf. Process. over Networks 1(1): 20-32 (2015) - [j1]Santiago Segarra
, Mark Eisen, Alejandro Ribeiro
:
Authorship Attribution Through Function Word Adjacency Networks. IEEE Trans. Signal Process. 63(20): 5464-5478 (2015) - [c16]Weiyu Huang, Santiago Segarra
, Alejandro Ribeiro
:
Diffusion distance for signals supported on networks. ACSSC 2015: 1219-1223 - [c15]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Sampling of graph signals: Successive local aggregations at a single node. ACSSC 2015: 1819-1823 - [c14]Santiago Segarra
, Antonio G. Marques
, Alejandro Ribeiro
:
Distributed implementation of linear network operators using graph filters. Allerton 2015: 1406-1413 - [c13]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Aggregation sampling of graph signals in the presence of noise. CAMSAP 2015: 101-104 - [c12]Santiago Segarra
, Gonzalo Mateos
, Antonio G. Marques
, Alejandro Ribeiro
:
Blind identification of graph filters with sparse inputs. CAMSAP 2015: 449-452 - [c11]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Interpolation of graph signals using shift-invariant graph filters. EUSIPCO 2015: 210-214 - [c10]Santiago Segarra
, Antonio G. Marques
, Geert Leus
, Alejandro Ribeiro
:
Reconstruction of graph signals: Percolation from a single seeding node. GlobalSIP 2015: 844-848 - [c9]Santiago Segarra
, Alejandro Ribeiro
:
Stability and continuity of centrality measures in weighted graphs. ICASSP 2015: 3387-3391 - [i8]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Sampling of graph signals with successive local aggregations. CoRR abs/1504.04687 (2015) - [i7]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Reconstruction of Graph Signals through Percolation from Seeding Nodes. CoRR abs/1507.08364 (2015) - [i6]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Distributed Linear Network Operators using Graph Filters. CoRR abs/1510.03947 (2015) - 2014
- [c8]Santiago Segarra
, Alejandro Ribeiro
:
Dithering and betweenness centrality in weighted graphs. GlobalSIP 2014: 847-851 - [c7]Santiago Segarra
, Alejandro Ribeiro
:
A stable betweenness centrality measure in networks. ICASSP 2014: 3859-3863 - [c6]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Quasi-Clustering Methods for Asymmetric Networks. ICML 2014: 352-360 - [i5]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Quasi-Clustering Methods for Asymmetric Networks. CoRR abs/1404.4655 (2014) - [i4]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship Attribution through Function Word Adjacency Networks. CoRR abs/1406.4469 (2014) - [i3]Santiago Segarra, Alejandro Ribeiro:
Stability and Continuity of Centrality Measures in Weighted Graphs. CoRR abs/1410.5119 (2014) - [i2]Santiago Segarra, Weiyu Huang, Alejandro Ribeiro:
Diffusion and Superposition Distances for Signals Supported on Networks. CoRR abs/1411.7443 (2014) - 2013
- [c5]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro
, Santiago Segarra
:
Hierarchical clustering methods and algorithms for asymmetric networks. ACSSC 2013: 1773-1777 - [c4]Santiago Segarra
, Alejandro Ribeiro
:
Hierarchical clustering and consensus in trust networks. CAMSAP 2013: 85-88 - [c3]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro
, Santiago Segarra
:
Alternative axiomatic constructions for hierarchical clustering of asymmetric networks. GlobalSIP 2013: 791-794 - [c2]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro
, Santiago Segarra
:
Axiomatic construction of hierarchical clustering in asymmetric networks. ICASSP 2013: 5219-5223 - [c1]Santiago Segarra
, Mark Eisen, Alejandro Ribeiro
:
Authorship attribution using function words adjacency networks. ICASSP 2013: 5563-5567 - [i1]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks. CoRR abs/1301.7724 (2013)
Coauthor Index
aka: Samuel Rey
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