AR
Alejandro Ribeiro
cs.LGeess.SPmath.OCstat.MLcs.SYeess.SYcs.ROcs.AIcs.ITmath.IT
On Valency
published · living versionsW_excspwdh·v1 · currentpublished
Scaling Graph Reasoning in Language Models with Learnable Graph Positional Encodings
with Javier Porras-Valenzuela, Arush Arora
1 version
Preprints & journals
310 papers in the corpus · 2011–2026Scaling Graph Reasoning in Language Models with Learnable Graph Positional Encodings2610.27439v1 · Javier Porras-Valenzuela, Arush Arora, Alejandro Ribeiro2026 · 0 citationsarXivon Valency
Colored Graph Signal Diffusion Models2610.17282v1 · Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti et al.2026 · 0 citationsarXiv
ConicFlow: constrained Inference-time optimal control for flow matching models2610.14307v1 · Shervin Khalafi, Kasra Fallah, Sung Cho et al.2026 · 0 citationsarXiv
Ceiling of a Task: When Can a Transformer Succeed Without Its Chain of Thought?2609.33134v1 · Jiashu He, Jinxuan Fan, Xiao Xiao et al.2026 · 0 citationsarXiv
Visual Navigation Transformer with Pose Attention2609.21212v1 · Beiming Li, Jaime Romero, Jonathan Diller et al.2026 · 0 citationsarXiv
Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs2609.10490v2 · Saurabh Sihag, Andrea Cavallo, Elvin Isufi et al.2026 · 0 citationsarXiv
Scalability of Graph Neural Network Policies in Wireless Communication Networks2609.06066v1 · Romina Garcia Camargo, Zhiyang Wang, Alejandro Ribeiro2026 · 0 citationsarXiv
Long-Horizon Wireless Link Scheduling with State-Augmented Graph Neural Networks2607.18480v1 · Romina Garcia Camargo, Zhiyang Wang, Navid NaderiAlizadeh et al.2026 · 0 citationsarXiv
Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints2607.08968v1 · Ignacio Hounie, Ignacio Boero, Alejandro Ribeiro2026 · 0 citationsarXiv
DiPhon: Diffusion on Graphons for Scalable Graph Generation2607.07232v1 · Sergio Rozada, Yiming Qin, Manuel Madeira et al.2026 · 0 citationsarXiv
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion2607.06546v2 · Shervin Khalafi, Igor Krawczuk, Sergio Rozada et al.2026 · 0 citationsarXiv
Generative Diffusion Models of Stochastic Graph Signals2607.06833v1 · Yigit Berkay Uslu, Samar Hadou, Sergio Rozada et al.2026 · 0 citationsarXiv
Constrained Diffusion Models with Primal-Dual Inference2606.17192v2 · Samar Hadou, Yigit Berkay Uslu, Alejandro Ribeiro2026 · 0 citationsarXiv
Limit Analysis of Graph Neural Networks with Wireless Conflict Graphs2606.03794v1 · Romina Garcia Camargo, Zhiyang Wang, Alejandro Ribeiro2026 · 0 citationsarXiv
Everywhere Learning: Artificial Intelligence with Pointwise Constraints2606.01557v2 · Ignacio Boero, Ignacio Hounie, Luiz F.O. Chamon et al.2026 · 0 citationsarXiv
Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints2605.30825v1 · Shervin Khalafi, Alejandro Ribeiro, Dongsheng Ding2026 · 0 citationsarXiv
Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves2605.06395v2 · Kartik Tandon, Julian Gould, Tanishq Bhatia et al.2026 · 0 citationsarXiv
Graph Signal Diffusion Models for Wireless Resource Allocation2604.05175v2 · Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti et al.2026 · 0 citationsarXiv
RKHS Representation of Algebraic Convolutional Filters with Integral Operators2602.19094v1 · Alejandro Parada-Mayorga, Alejandro Ribeiro, Juan Bazerque2026 · 0 citationsarXiv
Size-Transferability of Graph Transformers with Convolutional Positional Encodings2602.15239v4 · Javier Porras-Valenzuela, Zhiyang Wang, Teresa Shang et al.2026 · 0 citationsarXiv
Learning Policy Representations for Steerable Behavior Synthesis2601.22350v1 · Beiming Li, Sergio Rozada, Alejandro Ribeiro2026 · 0 citationsarXiv
A Constrained Optimization Perspective of Unrolled Transformers2601.17257v2 · Javier Porras-Valenzuela, Samar Hadou, Alejandro Ribeiro2026 · 0 citationsarXiv
Unrolled Neural Networks for Constrained Optimization2601.17274v2 · Samar Hadou, Alejandro Ribeiro2026 · 0 citationsarXiv
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks2601.12662v2 · Xingran Chen, Navid NaderiAlizadeh, Alejandro Ribeiro et al.2026 · 0 citationsarXiv
Cross-Learning from Scarce Data via Multi-Task Constrained Optimization2511.13680v1 · Leopoldo Agorio, Juan Cervino, Miguel Calvo-Fullana et al.2025 · 0 citationsarXiv
Learning Optimal Power Flow with Pointwise Constraints2510.20777v1 · Damian Owerko, Anna Scaglione, Alejandro Ribeiro2025 · 0 citationsarXiv
AL-CoLe: Augmented Lagrangian for Constrained Learning2510.20995v2 · Ignacio Boero, Ignacio Hounie, Alejandro Ribeiro2025 · 0 citationsarXiv
Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective.41281222 · Sihag, Saurabh, Mateos, Gonzalo, Ribeiro, Alejandro2025 · 2 citationsArXiv. 2025
Graph Neural Networks in Large Scale Wireless Communication Networks: Scalability Across Random Geometric Graphs2510.00896v1 · Romina Garcia Camargo, Zhiyang Wang, Alejandro Ribeiro2025 · 0 citationsarXiv
Unrolled Graph Neural Networks for Constrained Optimization2509.17156v2 · Samar Hadou, Alejandro Ribeiro2025 · 2 citationsarXiv
MAST: Multi-Agent Spatial Transformer for Learning to Collaborate2509.17195v1 · Damian Owerko, Frederic Vatnsdal, Saurav Agarwal et al.2025 · 0 citationsarXiv
Scalable Multi Agent Diffusion Policies for Coverage Control2509.17244v2 · Frederic Vatnsdal, Romina Garcia Camargo, Saurav Agarwal et al.2025 · 0 citationsarXiv
Graph Signal Generative Diffusion Models2509.17250v1 · Yigit Berkay Uslu, Samar Hadou, Sergio Rozada et al.2025 · 0 citationsarXiv
Composition and Alignment of Diffusion Models using Constrained Learning2508.19104v2 · Shervin Khalafi, Ignacio Hounie, Dongsheng Ding et al.2025 · 0 citationsarXiv
Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression2506.18748v2 · Yigit Berkay Uslu, Navid NaderiAlizadeh, Mark Eisen et al.2025 · 0 citationsarXiv
Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces2506.06557v3 · Antonio Pariente, Ignacio Hounie, Santiago Segarra et al.2025 · 0 citationsarXiv
Alignment of large language models with constrained learning2505.19387v2 · Botong Zhang, Shuo Li, Ignacio Hounie et al.2025 · 0 citationsarXiv
SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning2505.15062v6 · Jiashu He, Jinxuan Fan, Bowen Jiang et al.2025 · 0 citationsarXiv
Wireless Link Scheduling with State-Augmented Graph Neural Networks2505.07598v1 · Romina Garcia Camargo, Zhiyang Wang, Navid NaderiAlizadeh et al.2025 · 0 citationsarXiv
Generative Diffusion Models for Resource Allocation in Wireless Networks2504.20277v3 · Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti et al.2025 · 0 citationsarXiv
Learning Efficient Positional Encodings with Graph Neural Networks2502.01122v1 · Charilaos I. Kanatsoulis, Evelyn Choi, Stephanie Jegelka et al.2025 · 1 citationarXiv
Feasible Learning2501.14912v1 · Juan Ramirez, Ignacio Hounie, Juan Elenter et al.2025 · 0 citationsarXiv
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks2501.01510v1 · Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro2025 · 3 citationsarXiv
Convolutional Filtering with RKHS Algebras2411.01341v2 · Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro et al.2024 · 0 citationsarXiv
GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation2410.08475v3 · Jiashu He, Mingyu Derek Ma, Jinxuan Fan et al.2024 · 1 citationarXiv
LoRTA: Low Rank Tensor Adaptation of Large Language Models2410.04060v3 · Ignacio Hounie, Charilaos Kanatsoulis, Arnuv Tandon et al.2024 · 0 citationsarXiv
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images2410.03058v2 · Chen Liu, Danqi Liao, Alejandro Parada-Mayorga et al.2024 · 4 citationsarXiv
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning2410.00645v3 · Liangzu Peng, Juan Elenter, Joshua Agterberg et al.2024 · 0 citationsarXiv
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning2409.19829v1 · Shreyas Muthusamy, Damian Owerko, Charilaos I. Kanatsoulis et al.2024 · 0 citationsarXiv
Constrained Learning for Decentralized Multi-Objective Coverage Control2409.11311v2 · Juan Cervino, Saurav Agarwal, Vijay Kumar et al.2024 · 1 citationarXiv
Career total: at least 661 works. 310 are in this corpus.Showing the 50 most recent.
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