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Alejandro Ribeiro

University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA

17 papers at tracked venues · 13 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0003-4230-9906 ↗Google Scholar ↗Homepage ↗

Venues

ICLR ×4ICML ×4NeurIPS ×3AAAI ×2AISTATS ×2ICRA ×2

Frequent coauthors

Dongsheng Ding
×5
Ignacio Hounie
×4
Juan Cerviño
×3
Shervin Khalafi
×3
Juan Elenter
×3
Zhiyang Wang
×2
Vijay Kumar
×2
Charilaos I. Kanatsoulis
×2
Botong Zhang
×1
Shuo Li
×1
Osbert Bastani
×1
Saurav Agarwal
×1

Papers

  1. A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
    ICML 2025 ·
    Zhiyang Wang
    ,
    Juan Cerviño
    , Alejandro Ribeiro
  2. Alignment of Large Language Models with Constrained Learning
    NeurIPS 2025 ·
    Botong Zhang
    ,
    Shuo Li
    ,
    Ignacio Hounie
    ,
    Osbert Bastani
    ,
    Dongsheng Ding
    , Alejandro Ribeiro
  3. Composition and Alignment of Diffusion Models using Constrained Learning
    NeurIPS 2025 ·
    Shervin Khalafi
    ,
    Ignacio Hounie
    ,
    Dongsheng Ding
    , Alejandro Ribeiro
  4. Constrained Learning for Decentralized Multi-Objective Coverage Control
    ICRA 2025 ·
    Juan Cerviño
    ,
    Saurav Agarwal
    ,
    Vijay Kumar
    , Alejandro Ribeiro
  5. Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
    AAAI 2025 ·
    Sergio Rozada
    ,
    Dongsheng Ding
    ,
    Antonio G. Marques
    , Alejandro Ribeiro
  6. Feasible Learning
    AISTATS 2025 ·
    Juan Ramirez
    ,
    Ignacio Hounie
    ,
    Juan Elenter
    ,
    Jose Gallego-Posada
    ,
    Meraj Hashemizadeh
    , Alejandro Ribeiro,
    Simon Lacoste-Julien
  7. GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
    ICML 2025 ·
    Jiashu He
    ,
    Mingyu Derek Ma
    ,
    Jinxuan Fan
    ,
    Dan Roth
    ,
    Wei Wang
    , Alejandro Ribeiro
  8. Generalization of Graph Neural Networks Is Robust to Model Mismatch
    AAAI 2025 ·
    Zhiyang Wang
    ,
    Juan Cerviño
    , Alejandro Ribeiro
  9. Learning Efficient Positional Encodings with Graph Neural Networks
    ICLR 2025 ·
    Charilaos I. Kanatsoulis
    ,
    Evelyn Choi
    ,
    Stefanie Jegelka
    ,
    Jure Leskovec
    , Alejandro Ribeiro
  10. LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
    ICLR 2025 ·
    Liangzu Peng
    ,
    Juan Elenter
    ,
    Joshua Agterberg
    , Alejandro Ribeiro,
    René Vidal
  11. Constrained Diffusion Models via Dual Training
    NeurIPS 2024 ·
    Shervin Khalafi
    ,
    Dongsheng Ding
    , Alejandro Ribeiro
  12. Counting Graph Substructures with Graph Neural Networks
    ICLR 2024 ·
    Charilaos I. Kanatsoulis
    , Alejandro Ribeiro
  13. Loss Shaping Constraints for Long-Term Time Series Forecasting
    ICML 2024 ·
    Ignacio Hounie
    ,
    Javier Porras-Valenzuela
    , Alejandro Ribeiro
  14. Near-Optimal Solutions of Constrained Learning Problems
    ICLR 2024 ·
    Juan Elenter
    ,
    Luiz F. O. Chamon
    , Alejandro Ribeiro
  15. Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
    ICML 2024 ·
    Shervin Khalafi
    ,
    Saurabh Sihag
    , Alejandro Ribeiro
  16. Opportunistic Communication in Robot Teams
    ICRA 2024 ·
    Daniel Mox
    ,
    Kashish Garg
    , Alejandro Ribeiro,
    Vijay Kumar
  17. Resilient Constrained Reinforcement Learning
    AISTATS 2024 ·
    Dongsheng Ding
    ,
    Zhengyan Huan
    , Alejandro Ribeiro