Santiago Segarra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
96
Venues
10
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
96 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NSDI | Heuristic Analysis from Source Code via Symbolic-Guided Optimization. | Pantea Karimi, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Pooria Namyar, Mohammad Alizadeh, Behnaz Arzani |
| 2025 | ACSSC | Characterizing Seizure Dynamics Using Spectral Graph Inference for Seizure Onset Zone Localization. | Aila Teimouri, Ali Azizpour, Santiago Segarra, Nitin Tandon, Behnaam Aazhang |
| 2025 | ACSSC | A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking. | Zhongyuan Zhao, Yujun Ming, Kevin S. Chan, Ananthram Swami, Santiago Segarra |
| 2025 | ACSSC | Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials. | Nicolas Zilberstein, Santiago Segarra, Luiz Chamon |
| 2025 | AISTATS | Scalable Implicit Graphon Learning. | Ali Azizpour, Nicolas Zilberstein, Santiago Segarra |
| 2025 | ICASSP | Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm. | Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Kevin S. Chan, Ananthram Swami, Santiago Segarra |
| 2025 | ICASSP | Online Network Inference from Graph-Stationary Signals with Hidden Nodes. | Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques |
| 2025 | ICASSP | Fair CoVariance Neural Networks. | Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi |
| 2025 | ICASSP | Bayesian Filtering on Graphs. | Bishwadeep Das, Madeline Navarro, Santiago Segarra, Elvin Isufi |
| 2025 | ICASSP | Low-Rank Tensors for Multi-Dimensional Markov Models. | Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra |
| 2025 | ICASSP | Redesigning graph filter-based GNNs to relax the homophily assumption. | Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques |
| 2025 | ICLR | Repulsive Latent Score Distillation for Solving Inverse Problems. | Nicolas Zilberstein, Morteza Mardani, Santiago Segarra |
| 2025 | MOBIHOC | Poster: Sparsity-enhanced Lagrangian Relaxation (SeLR) for Computation Offloading at the Edge. | Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Ananthram Swami, Santiago Segarra |
| 2025 | NSDI | Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation. | Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula |
| 2024 | ACSSC | Multiuser Fair Resource Allocation for Block-stationary Wireless Channels. | Reza Ramezanpour, Santiago Segarra, Ashutosh Sabharwal |
| 2024 | ACSSC | Structure-Guided Input Graph for GNNs Facing Heterophily. | Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques |
| 2024 | AISTATS | An Impossibility Theorem for Node Embedding. | T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra |
| 2024 | AISTATS | Estimation of partially known Gaussian graphical models with score-based structural priors. | Martin Sevilla, Antonio G. Marques, Santiago Segarra |
| 2024 | HOTNETS | Towards Safer Heuristics With XPlain. | Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Beibin Li, Pooria Namyar, Behnaz Arzani |
| 2024 | HOTNETS | End-to-End Performance Analysis of Learning-enabled Systems. | Pooria Namyar, Michael Schapira, Ramesh Govindan, Santiago Segarra, Ryan Beckett, Siva Kesava Reddy Kakarla, Behnaz Arzani |
| 2024 | ICASSP | Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks. | Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra |
| 2024 | ICASSP | End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. | Benjamin Cox, Sara Prez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Vctor Elvira |
| 2024 | ICASSP | Data Augmentation via Subgroup Mixup for Improving Fairness. | Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra |
| 2024 | ICASSP | SC-MAD: Mixtures of Higher-Order Networks for Data Augmentation. | Madeline Navarro, Santiago Segarra |
| 2024 | ICASSP | Bayesian Topology Inference on Partially Known Networks from Input-Output Pairs. | Martin Sevilla, Santiago Segarra |
| 2024 | ICASSP | Recovering Missing Node Features with Local Structure-Based Embeddings. | Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques |
| 2024 | ICASSP | Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models. | Nicolas Zilberstein, Ananthram Swami, Santiago Segarra |
| 2024 | NSDI | NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. | Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula |
| 2024 | NSDI | Finding Adversarial Inputs for Heuristics using Multi-level Optimization. | Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula |
| 2024 | NSDI | Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. | Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj |
| 2024 | RECOMB | GraSSRep: Graph-Based Self-supervised Learning for Repeat Detection in Metagenomic Assembly. | Ali Azizpour, Advait Balaji, Todd J. Treangen, Santiago Segarra |
| 2023 | ACSSC | ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO. | Qing An, Mehdi Zafari, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, Rahman Doost-Mohammady |
| 2023 | ACSSC | Learning Non-myopic Power Allocation in Constrained Scenarios. | Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra |
| 2023 | ACSSC | State and Dynamics Estimation with the Kalman-Langevin filter. | Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Prez-Vieites, Vctor Elvira, Santiago Segarra |
| 2023 | HOTNETS | Securing Public Clouds using Dynamic Communication Graphs. | Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula |
| 2023 | HOTNETS | Enhancing Network Management Using Code Generated by Large Language Models. | Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula |
| 2023 | ICASSP | Graph Representation Learning For Stroke Recurrence Prediction. | Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra |
| 2023 | ICASSP | Graphmad: Graph Mixup for Data Augmentation Using Data-Driven Convex Clustering. | Madeline Navarro, Santiago Segarra |
| 2023 | ICASSP | Signal Processing On Product Spaces. | T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra |
| 2023 | ICASSP | Windowed Fourier Analysis for Signal Processing on Graph Bundles. | T. Mitchell Roddenberry, Santiago Segarra |
| 2023 | ICASSP | Delay-Aware Backpressure Routing Using Graph Neural Networks. | Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra |
| 2023 | ICASSP | Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics. | Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra |
| 2023 | ICLR | Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems. | Zhongyuan Zhao, Ananthram Swami, Santiago Segarra |
| 2022 | ACSSC | Conversational Turn-taking as a Stochastic Process on Networks. | Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas |
| 2022 | ACSSC | Joint graph learning from Gaussian observations in the presence of hidden nodes. | Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques |
| 2022 | ACSSC | Hypergraph 1-Spectral Clustering with General Submodular Weights. | Yu Zhu, Boning Li, Santiago Segarra |
| 2022 | HOTNETS | Minding the gap between fast heuristics and their optimal counterparts. | Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Srikanth Kandula |
| 2022 | ICASSP | Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. | Artun Bayer, Arindam Chowdhury, Santiago Segarra |
| 2022 | ICASSP | Stability Analysis of Unfolded WMMSE for Power Allocation. | Arindam Chowdhury, Fernando Gama, Santiago Segarra |
| 2022 | ICASSP | Unrolling Particles: Unsupervised Learning of Sampling Distributions. | Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra |
| 2022 | ICASSP | Power Allocation for Wireless Federated Learning Using Graph Neural Networks. | Boning Li, Ananthram Swami, Santiago Segarra |
| 2022 | ICASSP | Graphon-Aided Joint Estimation of Multiple Graphs. | Madeline Navarro, Santiago Segarra |
| 2022 | ICASSP | Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. | Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques |
| 2022 | ICASSP | Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. | T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra |
| 2022 | ICASSP | Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. | Zhongyuan Zhao, Ananthram Swami, Santiago Segarra |
| 2022 | ICASSP | Delay-Oriented Distributed Scheduling Using Graph Neural Networks. | Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra |
| 2022 | ICASSP | Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. | Yu Zhu, Boning Li, Santiago Segarra |
| 2021 | ACSSC | Node Embedding based on the Free Energy Distance. | Yu Zhu, Ananthram Swami, Santiago Segarra |
| 2021 | ACSSC | Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. | Boning Li, Gunjan Verma, Chirag Rao, Santiago Segarra |
| 2021 | ACSSC | A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. | Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques |
| 2021 | ICASSP | Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. | Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra |
| 2021 | ICASSP | Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. | Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra |
| 2021 | ICASSP | Adaptive Contention Window Design Using Deep Q-Learning. | Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra |
| 2021 | ICASSP | Network Topology Inference with Graphon Spectral Penalties. | T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra |
| 2021 | ICASSP | Distributed Scheduling Using Graph Neural Networks. | Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra |
| 2021 | ICML | Principled Simplicial Neural Networks for Trajectory Prediction. | T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra |
| 2020 | ACSSC | Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. | T. Mitchell Roddenberry, Santiago Segarra |
| 2020 | ICASSP | Generative Adversarial Networks for Graph Data Imputation from Signed Observations. | Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques |
| 2020 | ICASSP | Blind Inference of Centrality Rankings from Graph Signals. | T. Mitchell Roddenberry, Santiago Segarra |
| 2020 | ICASSP | Metric Representations of Networks: A Uniqueness Result. | Santiago Segarra, T. Mitchell Roddenberry, Facundo Mmoli, Alejandro Ribeiro |
| 2019 | ACSSC | HodgeNet: Graph Neural Networks for Edge Data. | T. Mitchell Roddenberry, Santiago Segarra |
| 2019 | ICASSP | Spectral Partitioning of Time-varying Networks with Unobserved Edges. | Michael T. Schaub, Santiago Segarra, Hoi-To Wai |
| 2019 | ICASSP | Estimation of Network Processes via Blind Graph Multi-filter Identification. | Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra |
| 2019 | KDD | Graph-based Semi-Supervised & Active Learning for Edge Flows. | Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson |
| 2018 | ICASSP | Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. | Fernando Jose Iglesias Garcia, Santiago Segarra, Samuel Rey-Escudero, Antonio G. Marques, David Ramrez |
| 2018 | ICASSP | Identifying Undirected Network Structure via Semidefinite Relaxation. | Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos |
| 2018 | ICASSP | Community Detection from Low-Rank Excitations of a Graph Filter. | Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie |
| 2017 | ACSSC | Joint inference of networks from stationary graph signals. | Santiago Segarra, Yuhao Wang, Caroline Uhler, Antonio G. Marques |
| 2017 | ICASSP | Graph-signal reconstruction and blind deconvolution for diffused sparse inputs. | David Ramrez, Antonio G. Marques, Santiago Segarra |
| 2017 | ICASSP | Stationary graph processes: Parametric power spectral estimation. | Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2017 | ICASSP | Robust network topology inference. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2017 | ICASSP | Network topology inference from non-stationary graph signals. | Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos |
| 2016 | ACSSC | Network topology identification from imperfect spectral templates. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ICASSP | Overlapping clustering of network data using cut metrics. | Fernando Gama, Santiago Segarra, Alejandro Ribeiro |
| 2016 | ICASSP | Diffusion filtering of graph signals and its use in recommendation systems. | Jeremy Ma, Weiyu Huang, Santiago Segarra, Alejandro Ribeiro |
| 2016 | ICASSP | Space-shift sampling of graph signals. | Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2016 | ICASSP | Blind identification of graph filters with multiple sparse inputs. | Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ICASSP | Linear network operators using node-variant graph filters. | Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro |
| 2015 | ACSSC | Diffusion distance for signals supported on networks. | Weiyu Huang, Santiago Segarra, Alejandro Ribeiro |
| 2015 | ACSSC | Sampling of graph signals: Successive local aggregations at a single node. | Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2015 | ICASSP | Stability and continuity of centrality measures in weighted graphs. | Santiago Segarra, Alejandro Ribeiro |
| 2014 | ICASSP | A stable betweenness centrality measure in networks. | Santiago Segarra, Alejandro Ribeiro |
| 2014 | ICML | Hierarchical Quasi-Clustering Methods for Asymmetric Networks. | Gunnar E. Carlsson, Facundo Mmoli, Alejandro Ribeiro, Santiago Segarra |
| 2013 | ACSSC | Hierarchical clustering methods and algorithms for asymmetric networks. | Gunnar E. Carlsson, Facundo Mmoli, Alejandro Ribeiro, Santiago Segarra |
| 2013 | ICASSP | Axiomatic construction of hierarchical clustering in asymmetric networks. | Gunnar E. Carlsson, Facundo Mmoli, Alejandro Ribeiro, Santiago Segarra |
| 2013 | ICASSP | Authorship attribution using function words adjacency networks. | Santiago Segarra, Mark Eisen, Alejandro Ribeiro |