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Alejandro Ribeiro

  1. Connecting the Dots: Identifying Network Structure via Graph Signal Processing
    2019/04/27 by Gonzalo Mateos, Santiago Segarra, Antonio G. Marques +2 · 25 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference
  2. Constrained Reinforcement Learning Has Zero Duality Gap
    2019/10/29 by Santiago Paternain, Paternain, Santiago, Luiz F. O. Chamon +5 · 15 citations
    Computer Science · Neuroscience · #Reinforcement Learning in Robotics #Adaptive Dynamic Programming Control #Neural and Behavioral Psychology Studies
  3. Safe Policies for Reinforcement Learning via Primal-Dual Methods
    2019/11/20 by Santiago Paternain, Miguel Calvo-Fullana, Paternain, Santiago +5 · 10 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
  4. DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
    2015/06/13 by Aryan Mokhtari, Mokhtari, Aryan, Alejandro Ribeiro +1 · 12 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Distributed Control Multi-Agent Systems #Sparse and Compressive Sensing Techniques
  5. State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
    2021/02/23 by Miguel Calvo-Fullana, Calvo-Fullana, Miguel, Santiago Paternain +5 · 6 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  6. Navigation Functions for Convex Potentials in a Space with Convex\n Obstacles
    2016/05/02 by Santiago Paternain, Paternain, Santiago, Daniel E. Koditschek +3 · 4 citations
    Computer Science · #Robotic Path Planning Algorithms #Optimization and Search Problems #Distributed Control Multi-Agent Systems
  7. D-MAP: Distributed Maximum a Posteriori Probability Estimation of Dynamic Systems
    2012/10/03 by Felicia Y. Jakubiec, Alejandro Ribeiro · 6 citations
    Computer Science · Engineering · #Target Tracking and Data Fusion in Sensor Networks #Distributed Sensor Networks and Detection Algorithms #Fault Detection and Control Systems
  8. A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
    2016/05/12 by Andrea Simonetto, Aryan Mokhtari, Alec Koppel +2 · 5 citations
    Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research #Stochastic Gradient Optimization Techniques
  9. Unsupervised Optimal Power Flow Using Graph Neural Networks
    2022/10/17 by Damian Owerko, Owerko, Damian, Fernando Gama +3 · 6 citations
    Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Optimal Power Flow Distribution #Power System Optimization and Stability #Signal Processing (eess.SP) #Systems and Control (eess.SY) #electronic engineering #information engineering
  10. Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
    2020/11/02 by Ekaterina V. Tolstaya, Tolstaya, Ekaterina, James Paulos +5 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Reinforcement Learning in Robotics #Robotics (cs.RO)
  11. Analysis of Optimization Algorithms via Integral Quadratic Constraints:\n Nonstrongly Convex Problems
    2017/05/10 by Mahyar Fazlyab, Fazlyab, Mahyar, Alejandro Ribeiro +5 · 3 citations
    Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research #Optimization and Variational Analysis
  12. Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
    2023/03/20 by Claudio Battiloro, Zhiyang Wang, Battiloro, Claudio +7 · 6 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
  13. Explainable Brain Age Prediction using coVariance Neural Networks
    2023/05/27 by Saurabh Sihag, Gonzalo Mateos, Sihag, Saurabh +5 · 6 citations
    Computer Science · Neuroscience · #Applications (stat.AP) #Brain Tumor Detection and Classification #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning in Healthcare #Quantitative Methods (q-bio.QM)
  14. Graph Policy Gradients for Large Scale Robot Control
    2019/07/08 by Arbaaz Khan, Ekaterina Tolstaya, Khan, Arbaaz +5 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Optimization and Search Problems #Reinforcement Learning in Robotics #Robotics (cs.RO)
  15. On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation
    2019/10/18 by Harshat Kumar, Alec Koppel, Kumar, Harshat +3 · 3 citations
    Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  16. Automatic Data Augmentation via Invariance-Constrained Learning
    2022/09/29 by Ignacio Hounie, Hounie, Ignacio, Luiz F. O. Chamon +3 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG)
  17. Surpassing Gradient Descent Provably: A Cyclic Incremental Method with\n Linear Convergence Rate
    2016/11/01 by Aryan Mokhtari, Mokhtari, Aryan, Mert Gürbüzbalaban +3 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  18. A Lagrangian Duality Approach to Active Learning
    2022/02/08 by Juan Elenter, Navid Naderializadeh, Elenter, Juan +3 · 3 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC)
  19. Learning Efficient Positional Encodings with Graph Neural Networks
    2025/02/03 by Charilaos I. Kanatsoulis, Kanatsoulis, Charilaos I., Choi, Evelyn +5 · 8 citations
    Computer Science · Social Sciences · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG) #Text and Document Classification Technologies
  20. Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
    2023/06/20 by Dong-Sheng Ding, Ding, Dongsheng, Chen-Yu Wei +5 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
  21. Graph Neural Networks for Motion Planning
    2020/06/11 by Arbaaz Khan, Khan, Arbaaz, Alejandro Ribeiro +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotic Path Planning Algorithms #Robotics (cs.RO)
  22. A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand
    2023/06/14 by Miguel Calvo-Fullana, Calvo-Fullana, Miguel, Mikhail Gerasimenko +13 · 3 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Mobile Ad Hoc Networks #Opportunistic and Delay-Tolerant Networks #Optimization and Control (math.OC) #Robotics (cs.RO) #UAV Applications and Optimization
  23. Stability of Graph Scattering Transforms
    2019/06/11 by Fernando Gama, Joan Bruna, Gama, Fernando +3 · 2 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
  24. Hierarchical Quasi-Clustering Methods for Asymmetric Networks
    2014/04/17 by Gunnar Carlsson, Facundo Mémoli, Carlsson, Gunnar +5 · 2 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Data Management and Algorithms
  25. Adversarial Robustness with Semi-Infinite Constrained Learning
    2021/10/29 by Alexander Robey, Luiz F. O. Chamon, Robey, Alexander +7 · 2 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
    2021/06/24 by Ting-Kuei Hu, Fernando Gama, Hu, Ting-Kuei +11 · 2 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Multimodal Machine Learning Applications #Robotics (cs.RO) #Signal Processing (eess.SP) #Systems and Control (eess.SY) #Visual Attention and Saliency Detection #electronic engineering #information engineering
  27. GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
    2024/10/11 by Jiashu He, He, Jiashu, Mingyu Derek Ma +9 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Rough Sets and Fuzzy Logic #Semantic Web and Ontologies
  28. VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms
    2020/02/06 by Ting-Kuei Hu, Fernando Gama, Hu, Ting-Kuei +9 · 1 voice · 1 citation
    Computer Science · Engineering · Neuroscience · #Distributed Control Multi-Agent Systems #UAV Applications and Optimization #Cerebrospinal fluid and hydrocephalus
  29. Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks
    2013/01/31 by Gunnar Carlsson, Facundo Mémoli, Carlsson, Gunnar +5 · 1 citation
    Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  30. Efficient Distributed Hessian Free Algorithm for Large-scale Empirical\n Risk Minimization via Accumulating Sample Strategy
    2018/10/26 by Majid Jahani, Xi He, Jahani, Majid +11 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  31. Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
    2021/05/18 by Lifeng Zhou, V D Sharma, Zhou, Lifeng +9 · 2 citations
    Computer Science · #Distributed Control Multi-Agent Systems #Advanced Graph Neural Networks #Energy Efficient Wireless Sensor Networks
  32. Stability and Continuity of Centrality Measures in Weighted Graphs
    2014/10/19 by Santiago Segarra, Segarra, Santiago, Alejandro Ribeiro +1 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Graph theory and applications #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  33. Parsimonious Online Learning with Kernels via Sparse Projections in\n Function Space
    2016/12/13 by Alec Koppel, Koppel, Alec, Garrett Warnell +5 · 1 citation
    Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Face and Expression Recognition
  34. A Graph Signal Processing View on Functional Brain Imaging
    2017/09/29 by Weiyu Huang, Huang, Weiyu, Thomas A. W. Bolton +9 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Image and Video Processing (eess.IV) #Social and Information Networks (cs.SI) #electronic engineering #information engineering
  35. Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
    2021/06/19 by Zhan Gao, Gao, Zhan, Elvin Isufi +3 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Stochastic Gradient Optimization Techniques #electronic engineering #information engineering
  36. Coverage Control in Multi-Robot Systems via Graph Neural Networks
    2021/09/30 by Walker Gosrich, Gosrich, Walker, Siddharth Mayya +11 · 2 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Age of Information Optimization #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Robotics (cs.RO)
  37. Resilient Constrained Learning
    2023/06/04 by Ignacio Hounie, Alejandro Ribeiro, Hounie, Ignacio +3 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Single-cell and spatial transcriptomics
  38. Stability to Deformations of Manifold Filters and Manifold Neural Networks
    2021/06/07 by Zhiyang Wang, Wang, Zhiyang, Luana Ruiz +3 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems
    2019/06/21 by Zhan Gao, Mark Eisen, Gao, Zhan +3 · 1 citation
    Engineering · #Advanced Optical Network Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (stat.ML) #Optical Wireless Communication Technologies #Satellite Communication Systems #Signal Processing (eess.SP) #electronic engineering #information engineering
  40. Transferability of Convolutional Neural Networks in Stationary Learning Tasks
    2023/07/21 by Damian Owerko, Owerko, Damian, Charilaos I. Kanatsoulis +7 · 2 citations
    Computer Science · Engineering · Environmental Science · #Air Quality Monitoring and Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Video Surveillance and Tracking Methods #electronic engineering #information engineering
  41. Stability of Aggregation Graph Neural Networks
    2022/07/08 by Alejandro Parada-Mayorga, Parada-Mayorga, Alejandro, Zhiyang Wang +5 · 1 citation
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks Stability and Synchronization
  42. Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back
    2022/10/26 by Claudio Battiloro, Zhiyang Wang, Battiloro, Claudio +7 · 1 citation
    Computer Science · Medicine · #Neural Networks and Applications #Image and Signal Denoising Methods #Advanced Neuroimaging Techniques and Applications
  43. Network Newton-Part II: Convergence Rate and Implementation
    2015/04/23 by Aryan Mokhtari, Mokhtari, Aryan, Qing Ling +3 · 1 citation
    Computer Science · Engineering · #Distributed Control Multi-Agent Systems #FOS: Mathematics #Neural Networks Stability and Synchronization #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
  44. IQN: An Incremental Quasi-Newton Method with Local Superlinear\n Convergence Rate
    2017/02/02 by Aryan Mokhtari, Mark Eisen, Mokhtari, Aryan +3 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  45. Counterfactual Programming for Optimal Control
    2020/01/29 by Luiz F. O. Chamon, Chamon, Luiz F. O., Santiago Paternain +3 · 1 citation
    Engineering · Computer Science · Decision Sciences · #Advanced Control Systems Optimization #Reinforcement Learning in Robotics #Risk and Portfolio Optimization
  46. Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach
    2024/05/09 by Yiğit Berkay Uslu, R. Doostnejad, Uslu, Yiğit Berkay +5 · 1 citation
    Computer Science · Engineering · #Wireless Networks and Protocols #Indoor and Outdoor Localization Technologies #Advanced MIMO Systems Optimization
  47. LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
    2024/10/01 by Liangzu Peng, Juan Elenter, Peng, Liangzu +7 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Speech Recognition and Synthesis
  48. SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning
    2025/05/21 by Jiashu He, He, Jiashu, Jin‐Xuan Fan +9 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
  49. Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
    2024/09/08 by Zhiyang Wang, Wang, Zhiyang, Juan Cerviño +3 · 1 citation
    Computer Science · #Advanced Decision-Making Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural Networks and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
  50. Generalization of Graph Neural Networks is Robust to Model Mismatch
    2024/08/25 by Zhiyang Wang, Juan Cerviño, Wang, Zhiyang +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
  51. LoRTA: Low Rank Tensor Adaptation of Large Language Models
    2024/10/05 by Ignacio Hounie, Hounie, Ignacio, Charilaos I. Kanatsoulis +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Physics and Python Applications #FOS: Computer and information sciences #Speech Recognition and Synthesis #Topic Modeling
  52. Sinkhorn Barycenter via Functional Gradient Descent
    2020/07/20 by Zebang Shen, Zhenfu Wang, Shen, Zebang +5 · 1 citation
    Computer Science · Mathematics · #Topological and Geometric Data Analysis #Point processes and geometric inequalities #Medical Image Segmentation Techniques
  53. Alignment of large language models with constrained learning
    2025/05/26 by Botong Zhang, Zhang, Botong, Shuo Li +9 · 2 citations
    Computer Science · #Natural Language Processing Techniques
  54. Accelerated Dual Descent for Network Optimization
    2011/04/06 by Michael Zargham, Zargham, M., Alejandro Ribeiro +5 · 1 citation
    Computer Science · Engineering · #Cooperative Communication and Network Coding #Distributed Control Multi-Agent Systems #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
  55. Feasible Learning
    2025/01/24 by Juan Ramírez, Ignacio Hounie, Ramirez, Juan +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare
  56. Multi-task Supervised Learning via Cross-learning
    2020/10/24 by Juan Cerviño, Juan Andrés Bazerque, Cervino, Juan +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Signal Processing (eess.SP) #Stochastic Gradient Optimization Techniques #electronic engineering #information engineering
  57. Long-Horizon Wireless Link Scheduling with State-Augmented Graph Neural Networks
    2026/07/20 by Romina Garcia Camargo, Zhiyang Wang, Navid NaderiAlizadeh +1
    #eess.SP