| 2025 | AAAI | Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. | Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro |
| 2025 | AAAI | Generalization of Graph Neural Networks Is Robust to Model Mismatch. | Zhiyang Wang, Juan Cervio, Alejandro Ribeiro |
| 2025 | ACSSC | Wireless Link Scheduling with State-Augmented Graph Neural Networks. | Romina Garca Camargo, Zhiyang Wang, Navid NaderiAlizadeh, Alejandro Ribeiro |
| 2025 | AISTATS | Feasible Learning. | Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien |
| 2025 | ICASSP | State-Augmented Opportunistic Routing in Wireless Communication Systems with Graph Neural Networks. | Sourajit Das, Navid NaderiAlizadeh, Alejandro Ribeiro |
| 2025 | ICASSP | DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. | Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy |
| 2025 | ICLR | Learning Efficient Positional Encodings with Graph Neural Networks. | Charilaos I. Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro |
| 2025 | ICLR | LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning. | Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, Ren Vidal |
| 2025 | ICML | GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation. | Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro |
| 2025 | ICML | A Manifold Perspective on the Statistical Generalization of Graph Neural Networks. | Zhiyang Wang, Juan Cervio, Alejandro Ribeiro |
| 2025 | ICRA | Constrained Learning for Decentralized Multi-Objective Coverage Control. | Juan Cervio, Saurav Agarwal, Vijay Kumar, Alejandro Ribeiro |
| 2024 | ACSSC | Generalization of Graph Neural Networks: Over Geometric Graphs Sampled from Manifolds. | Zhiyang Wang, Juan Cervio, Alejandro Ribeiro |
| 2024 | AISTATS | Resilient Constrained Reinforcement Learning. | Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro |
| 2024 | GLOBECOM | Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. | Yigit Berkay Uslu, Roya Doostnejad, Alejandro Ribeiro, Navid NaderiAlizadeh |
| 2024 | ICASSP | State-Augmented Information Routing In Communication Systems With Graph Neural Networks. | Sourajit Das, Navid NaderiAlizadeh, Alejandro Ribeiro |
| 2024 | ICASSP | Graph Neural Networks are More Powerful than We Think. | Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2024 | ICASSP | Unsupervised Optimal Power Flow Using Graph Neural Networks. | Damian Owerko, Fernando Gama, Alejandro Ribeiro |
| 2024 | ICASSP | Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations. | Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro |
| 2024 | ICLR | Near-Optimal Solutions of Constrained Learning Problems. | Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro |
| 2024 | ICLR | Counting Graph Substructures with Graph Neural Networks. | Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2024 | ICML | Loss Shaping Constraints for Long-Term Time Series Forecasting. | Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro |
| 2024 | ICML | Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks. | Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro |
| 2024 | ICRA | Opportunistic Communication in Robot Teams. | Daniel Mox, Kashish Garg, Alejandro Ribeiro, Vijay Kumar |
| 2023 | ACSSC | Solving Large-Scale Spatial Problems with Convolutional Neural Networks. | Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2023 | ACSSC | Convergence of Graph Neural Networks on Relatively Sparse Graphs. | Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro |
| 2023 | ICASSP | Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. | Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro |
| 2023 | ICASSP | Learning with Multigraph Convolutional Filters. | Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro |
| 2023 | ICASSP | Multi-Task Bias-Variance Trade-Off Through Functional Constraints. | Juan Cervio, Juan Andrs Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro |
| 2023 | ICASSP | Training Graph Neural Networks on Growing Stochastic Graphs. | Juan Cervio, Luana Ruiz, Alejandro Ribeiro |
| 2023 | ICASSP | Space-Time Graph Neural Networks with Stochastic Graph Perturbations. | Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2023 | ICASSP | Neural Networks with Quantization Constraints. | Ignacio Hounie, Juan Elenter, Alejandro Ribeiro |
| 2023 | ICASSP | Algebraic Convolutional Filters on Lie Group Algebras. | Harshat Kumar, Alejandro Parada-Mayorga, Alejandro Ribeiro |
| 2023 | ICASSP | Predicting Brain Age Using Transferable Covariance Neural Networks. | Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro |
| 2023 | ICASSP | Convolutional Filtering on Sampled Manifolds. | Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro |
| 2023 | ICML | Learning Globally Smooth Functions on Manifolds. | Juan Cervio, Luiz F. O. Chamon, Benjamin David Haeffele, Ren Vidal, Alejandro Ribeiro |
| 2023 | ICML | Automatic Data Augmentation via Invariance-Constrained Learning. | Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro |
| 2023 | IROS | Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles. | Igor Spasojevic, Xu Liu, Ankit Prabhu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar |
| 2022 | ACSSC | Convolutional Neural Networks on Manifolds: From Graphs and Back. | Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro |
| 2022 | COLT | Self-Consistency of the Fokker Planck Equation. | Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani |
| 2022 | ICASSP | Training Stable Graph Neural Networks Through Constrained Learning. | Juan Cervio, Luana Ruiz, Alejandro Ribeiro |
| 2022 | ICASSP | Adaptive Wireless Power Allocation with Graph Neural Networks. | Navid NaderiAlizadeh, Mark Eisen, Alejandro Ribeiro |
| 2022 | ICASSP | Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. | Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro |
| 2022 | ICASSP | Stability of Neural Networks on Manifolds to Relative Perturbations. | Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro |
| 2022 | ICLR | Space-Time Graph Neural Networks. | Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2022 | ICLR | An Agnostic Approach to Federated Learning with Class Imbalance. | Zebang Shen, Juan Cervio, Hamed Hassani, Alejandro Ribeiro |
| 2022 | ICRA | Coverage Control in Multi-Robot Systems via Graph Neural Networks. | Walker Gosrich, Siddharth Mayya, Rebecca Li, James Paulos, Mark Yim, Alejandro Ribeiro, Vijay Kumar |
| 2021 | ACSSC | Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. | Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro |
| 2021 | ICASSP | Graph Neural Networks for Decentralized Controllers. | Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro |
| 2021 | ICASSP | Variance-Constrained Learning for Stochastic Graph Neural Networks. | Zhan Gao, Elvin Isufi, Alejandro Ribeiro |
| 2021 | ICASSP | Wide and Deep Graph Neural Networks with Distributed Online Learning. | Zhan Gao, Alejandro Ribeiro, Fernando Gama |
| 2021 | ICASSP | VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. | Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler |
| 2021 | ICASSP | Stability of Algebraic Neural Networks to Small Perturbations. | Alejandro Parada-Mayorga, Alejandro Ribeiro |
| 2021 | ICASSP | Discriminability of Single-Layer Graph Neural Networks. | Samuel Pfrommer, Alejandro Ribeiro, Fernando Gama |
| 2021 | ICASSP | Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. | Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi |
| 2021 | ICASSP | Graphon and Graph Neural Network Stability. | Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro |
| 2021 | ICASSP | Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. | Zhiyang Wang, Mark Eisen, Alejandro Ribeiro |
| 2021 | IROS | Learning Connectivity for Data Distribution in Robot Teams. | Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro |
| 2021 | IROS | Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. | Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro |
| 2021 | ISIT | Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space. | Harshat Kumar, Dionysios S. Kalogerias, George J. Pappas, Alejandro Ribeiro |
| 2020 | ACSSC | Decentralized Wireless Resource Allocation with Graph Neural Networks. | Zhiyang Wang, Mark Eisen, Alejandro Ribeiro |
| 2020 | AISTATS | Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. | Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takc |
| 2020 | GLOBECOM | Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. | Zhan Gao, Mark Eisen, Alejandro Ribeiro |
| 2020 | ICASSP | The Empirical Duality Gap of Constrained Statistical Learning. | Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro |
| 2020 | ICASSP | Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. | Mark Eisen, Alejandro Ribeiro |
| 2020 | ICASSP | Stability of Graph Neural Networks to Relative Perturbations. | Fernando Gama, Alejandro Ribeiro, Joan Bruna |
| 2020 | ICASSP | Stochastic Graph Neural Networks. | Zhan Gao, Elvin Isufi, Alejandro Ribeiro |
| 2020 | ICASSP | Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization. | Zhan Gao, Alec Koppel, Alejandro Ribeiro |
| 2020 | ICASSP | Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. | Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro |
| 2020 | ICASSP | A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. | Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro |
| 2020 | ICASSP | Optimal Power Flow Using Graph Neural Networks. | Damian Owerko, Fernando Gama, Alejandro Ribeiro |
| 2020 | ICASSP | Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. | Maria Peifer, Alejandro Ribeiro |
| 2020 | ICASSP | The Graphon Fourier Transform. | Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro |
| 2020 | ICASSP | Spatial Gating Strategies for Graph Recurrent Neural Networks. | Luana Ruiz, Fernando Gama, Alejandro Ribeiro |
| 2020 | ICASSP | Metric Representations of Networks: A Uniqueness Result. | Santiago Segarra, T. Mitchell Roddenberry, Facundo Mmoli, Alejandro Ribeiro |
| 2020 | ICRA | Mobile Wireless Network Infrastructure on Demand. | Daniel Mox, Miguel Calvo-Fullana, Mikhail Gerasimenko, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro |
| 2020 | IROS | Graph Neural Networks for Decentralized Multi-Robot Path Planning. | Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok |
| 2020 | ICRA | Sufficiently Accurate Model Learning. | Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro |
| 2019 | ACSSC | Multi-mode Autonomous Communication Systems. | Miguel Calvo-Fullana, Fikadu T. Dagefu, Brian M. Sadler, Alejandro Ribeiro |
| 2019 | ACSSC | Learning Gaussian Processes with Bayesian Posterior Optimization. | Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |
| 2019 | ACSSC | Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. | Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus |
| 2019 | ACSSC | Convolutional Graph Neural Networks. | Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro |
| 2019 | CoRL | Graph Policy Gradients for Large Scale Robot Control. | Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar |
| 2019 | CoRL | Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. | Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro |
| 2019 | GLOBECOM | Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. | Zhan Gao, Mark Eisen, Alejandro Ribeiro |
| 2019 | ICASSP | Sparse Recovery over Nonlinear Dictionaries. | Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro |
| 2019 | ICASSP | Control Aware Communication Design for Time Sensitive Wireless Systems. | Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro |
| 2019 | ICASSP | Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. | Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro |
| 2019 | ICASSP | Aggregation Graph Neural Networks. | Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus |
| 2019 | ICASSP | Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. | Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |
| 2019 | ICASSP | Median Activation Functions for Graph Neural Networks. | Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro |
| 2019 | ICLR | Diffusion Scattering Transforms on Graphs. | Fernando Gama, Alejandro Ribeiro, Joan Bruna |
| 2019 | ICML | Hessian Aided Policy Gradient. | Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi |
| 2019 | IROS | Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. | Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar |
| 2019 | IROS | Inverse Optimal Planning for Air Traffic Control. | Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor |
| 2018 | ACSSC | Online Deep Learning in Wireless Communication Systems. | Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro |
| 2018 | ACSSC | Decentralized Online Nonparametric Learning. | Alec Koppel, Santiago Paternain, Cdric Richard, Alejandro Ribeiro |
| 2018 | ACSSC | Locally Adaptive Kernel Estimation Using Sparse Functional Programming. | Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |
| 2018 | AISTATS | Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. | Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro |
| 2018 | ICASSP | Strong Duality of Sparse Functional Optimization. | Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro |
| 2018 | ICASSP | Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. | Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro |
| 2018 | ICASSP | Control of Graph Signals Over Random Time-Varying Graphs. | Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro |
| 2018 | ICASSP | Graph Signal Processing of Human Brain Imaging Data. | Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville |
| 2018 | ICASSP | Matrix Completion as Graph Bandlimited Reconstruction. | Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro |
| 2018 | ICASSP | Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning. | Alec Koppel, Aryan Mokhtari, Alejandro Ribeiro |
| 2018 | IROS | Learning Sample-Efficient Target Reaching for Mobile Robots. | Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro |
| 2018 | IROS | Composable Learning with Sparse Kernel Representations. | Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro |
| 2017 | ACSSC | A primal-dual Quasi-Newton method for consensus optimization. | Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro |
| 2017 | ACSSC | Partial embedding distance for networks. | Weiyu Huang, Alejandro Ribeiro |
| 2017 | ICASSP | Stochastic backpressure in energy harvesting networks. | Miguel Calvo-Fullana, Javier Matamoros, Carles Antn-Haro, Alejandro Ribeiro |
| 2017 | ICASSP | Universal bounds for the sampling of graph signals. | Luiz F. O. Chamon, Alejandro Ribeiro |
| 2017 | ICASSP | Weak law of large numbers for stationary graph processes. | Fernando Gama, Alejandro Ribeiro |
| 2017 | ICASSP | Brain signal analytics from graph signal processing perspective. | Leah Goldsberry, Weiyu Huang, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro |
| 2017 | ICASSP | Axiomatic hierarchical clustering given intervals of metric distances. | Weiyu Huang, Alejandro Ribeiro |
| 2017 | ICASSP | Parsimonious Online Learning with Kernels via sparse projections in function space. | Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro |
| 2017 | ICASSP | An incremental quasi-Newton method with a local superlinear convergence rate. | Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro |
| 2017 | ICASSP | A double incremental aggregated gradient method with linear convergence rate for large-scale optimization. | Aryan Mokhtari, Mert Grbzbalaban, Alejandro Ribeiro |
| 2017 | ICASSP | Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation. | Aryan Mokhtari, Alec Koppel, Gesualdo Scutari, Alejandro Ribeiro |
| 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 |
| 2016 | ACSSC | Rethinking sketching as sampling: Linear transforms of graph signals. | Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro |
| 2016 | ACSSC | Persistent homology lower bounds on distances in the space of networks. | Weiyu Huang, Alejandro Ribeiro |
| 2016 | ACSSC | Doubly stochastic algorithms for large-scale optimization. | Alec Koppel, Aryan Mokhtari, Alejandro Ribeiro |
| 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 | Persistent homology lower bounds on network distances. | Weiyu Huang, Alejandro Ribeiro |
| 2016 | ICASSP | Proximity without consensus in online multi-agent optimization. | Alec Koppel, Brian M. Sadler, 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 |
| 2016 | ICASSP | System architectures for communication-aware multi-robot navigation. | James Stephan, Jonathan Fink, Alejandro Ribeiro |
| 2016 | IROS | Online learning for characterizing unknown environments in ground robotic vehicle models. | Alec Koppel, Jonathan Fink, Garrett Warnell, Ethan Stump, Alejandro Ribeiro |
| 2016 | ICRA | Hybrid architecture for communication-aware multi-robot systems. | James Stephan, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro |
| 2015 | ACSSC | Diffusion distance for signals supported on networks. | Weiyu Huang, Santiago Segarra, Alejandro Ribeiro |
| 2015 | ACSSC | Decentralized double stochastic averaging gradient. | Aryan Mokhtari, 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 | ACSSC | Prediction-correction methods for time-varying convex optimization. | Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro |
| 2015 | ICASSP | Rational consumer behavior models in smart pricing. | Ceyhun Eksin, Hakan Deli, Alejandro Ribeiro |
| 2015 | ICASSP | Metrics in the space of high order proximity networks. | Weiyu Huang, Alejandro Ribeiro |
| 2015 | ICASSP | Regret bounds of a distributed saddle point algorithm. | Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro |
| 2015 | ICASSP | An approximate Newton method for distributed optimization. | Aryan Mokhtari, Qing Ling, Alejandro Ribeiro |
| 2015 | ICASSP | Stability and continuity of centrality measures in weighted graphs. | Santiago Segarra, Alejandro Ribeiro |
| 2015 | IROS | D4L: Decentralized dynamic discriminative dictionary learning. | Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro |
| 2014 | ACSSC | Network Newton. | Aryan Mokhtari, Qing Ling, Alejandro Ribeiro |
| 2014 | GLOBECOM | Discounted integral priority routing for data networks. | Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie |
| 2014 | ICASSP | Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources. | Ceyhun Eksin, Hakan Deli, Alejandro Ribeiro |
| 2014 | ICASSP | Information aggregation in a beauty contest game. | Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie |
| 2014 | ICASSP | A saddle point algorithm for networked online convex optimization. | Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro |
| 2014 | ICASSP | Decentralized linearized alternating direction method of multipliers. | Qing Ling, Alejandro Ribeiro |
| 2014 | ICASSP | A quasi-Newton method for large scale support vector machines. | Aryan Mokhtari, 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 |
| 2014 | IROS | Robust routing and Multi-Confirmation Transmission Protocol for connectivity management of mobile robotic teams. | James Stephan, Jonathan Fink, Benjamin Charrow, Alejandro Ribeiro, Vijay Kumar |
| 2013 | ACSSC | Hierarchical clustering methods and algorithms for asymmetric networks. | Gunnar E. Carlsson, Facundo Mmoli, Alejandro Ribeiro, Santiago Segarra |
| 2013 | GLOBECOM | Accelerated backpressure algorithm. | Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie |
| 2013 | ICASSP | Axiomatic construction of hierarchical clustering in asymmetric networks. | Gunnar E. Carlsson, Facundo Mmoli, Alejandro Ribeiro, Santiago Segarra |
| 2013 | ICASSP | Bayesian Quadratic Network Game filters. | Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie |
| 2013 | ICASSP | Authorship attribution using function words adjacency networks. | Santiago Segarra, Mark Eisen, Alejandro Ribeiro |
| 2012 | ACSSC | Dynamic games with side information in economic networks. | Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie |
| 2012 | ACSSC | Distributed maximum a posteriori probability estimation for tracking of dynamic systems. | Felicia Y. Jakubiec, Alejandro Ribeiro |
| 2012 | ICASSP | Heuristic rational models in social networks. | Ceyhun Eksin, Alejandro Ribeiro |
| 2012 | ICASSP | Optimal wireless multiuser channels with imperfect channel state information. | Yichuan Hu, Alejandro Ribeiro |
| 2012 | ICASSP | Distributed maximum a posteriori probability estimation of dynamic systems with wireless sensor networks. | Felicia Y. Jakubiec, Alejandro Ribeiro |
| 2012 | ICNP | A distributed routing protocol for predictable rates in wireless mesh networksy. | Behnaz Arzani, Roch Gurin, Alejandro Ribeiro |
| 2012 | ICRA | Motion planning for robust wireless networking. | Jonathan Fink, Alejandro Ribeiro, Vijay Kumar |
| 2011 | ACSSC | Network optimization with heuristic rational agents. | Ceyhun Eksin, Alejandro Ribeiro |
| 2011 | ACSSC | A framework for integrating mobility and routing in mobile communication networks. | Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas |
| 2011 | GLOBECOM | Optimal Transmission over a Fading Channel with Imperfect Channel State Information. | Yichuan Hu, Alejandro Ribeiro |
| 2011 | ICASSP | Optimal wireless networks based on local channel state information. | Yichuan Hu, Alejandro Ribeiro |
| 2010 | ICASSP | Ergodic stochastic optimization algorithms for wireless communication and networking. | Alejandro Ribeiro |
| 2009 | ICASSP | Cross-layer optimization of wireless fading ad-hoc networks. | Nikolaos Gatsis, Alejandro Ribeiro, Georgios B. Giannakis |
| 2009 | ICASSP | Layers and layer interfaces in wireless networks. | Alejandro Ribeiro |
| 2008 | ACSSC | Session WA6b: Wireless network utility maximization: Fundamental limits and protocols. | Alejandro Ribeiro |
| 2008 | ACSSC | Optimal layered architectures of wireless networks. | Alejandro Ribeiro, Georgios B. Giannakis |
| 2008 | CISS | Layer separability of wireless networks. | Alejandro Ribeiro, Georgios B. Giannakis |
| 2008 | ICASSP | Distributed Kalman filtering based on quantized innovations. | Eric J. Msechu, Alejandro Ribeiro, Stergios I. Roumeliotis, Georgios B. Giannakis |
| 2008 | ICASSP | Optimal FDMA over wireless fading mobile ad-hoc networks. | Alejandro Ribeiro, Georgios B. Giannakis |
| 2007 | CISS | Robust Routing in Wireless Multi-Hop Networks. | Yuchen Wu, Alejandro Ribeiro, Georgios B. Giannakis |
| 2007 | ICASSP | Distributed Routing Algorithms for Wireless Multihop Networks. | Alejandro Ribeiro, Georgios B. Giannakis, Nicholas D. Sidiropoulos |
| 2007 | ICASSP | Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links. | Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis |
| 2007 | INFOCOM | Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks. | Alejandro Ribeiro, Georgios B. Giannakis, Zhi-Quan Luo, Nikos D. Sidiropoulos |
| 2006 | GLOBECOM | Link-Adaptive Distributed Coding for Multi-Source Cooperation. | Alfonso Cano, Tairan Wang, Alejandro Ribeiro, Georgios B. Giannakis |
| 2006 | ICASSP | SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using The Sign Of Innovations. | Alejandro Ribeiro, Georgios B. Giannakis, Stergios I. Roumeliotis |
| 2005 | ICASSP | Non-parametric distributed quantization-estimation using wireless sensor networks. | Alejandro Ribeiro, Georgios B. Giannakis |
| 2005 | ICASSP | Cooperative random access with long PN spreading codes. | Yingqun Yu, Alejandro Ribeiro, Nikolaos D. Sidiropoulos, Georgios B. Giannakis |
| 2004 | ICASSP | Opportunistic multipath for bandwidth-efficient cooperative networking. | Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis |