PPaperPicks

Alejandro Ribeiro

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

17 papers at tracked venues · 13 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
  2. Alignment of Large Language Models with Constrained Learning
  3. Composition and Alignment of Diffusion Models using Constrained Learning
  4. Constrained Learning for Decentralized Multi-Objective Coverage Control
  5. Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
  6. Feasible Learning
  7. GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
  8. Generalization of Graph Neural Networks Is Robust to Model Mismatch
  9. Learning Efficient Positional Encodings with Graph Neural Networks
    ICLR 2025 ·
    Charilaos I. Kanatsoulis
  10. LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
  11. Constrained Diffusion Models via Dual Training
  12. Counting Graph Substructures with Graph Neural Networks
    ICLR 2024 ·
    Charilaos I. Kanatsoulis
  13. Loss Shaping Constraints for Long-Term Time Series Forecasting
  14. Near-Optimal Solutions of Constrained Learning Problems
  15. Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
  16. Opportunistic Communication in Robot Teams
  17. Resilient Constrained Reinforcement Learning