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Pietro Li\`o

Identifiers

  • name variant Pietro Li\`o 0.60 · backfill

Papers (35)

  1. The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models cs.CL · 2026 · author #7
  2. KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis stat.ML · 2026 · author #3
  3. Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cs.LG · 2026 · author #5
  4. Remember to Forget: Gated Adaptive Positional Encoding cs.LG · 2026 · author #5
  5. Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments cs.LG · 2026 · author #5
  6. HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily cs.LG · 2026 · author #8
  7. GEM-FI: Gated Evidential Mixtures with Fisher Modulation cs.LG · 2026 · author #3
  8. GeoCert: Certified Geometric AI for Reliable Forecasting cs.LG · 2026 · author #6
  9. The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs? cs.CL · 2026 · author #4
  10. SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants cs.LG · 2026 · author #2
  11. When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents cs.MA · 2026 · author #6
  12. HypeR Adaptivity: Joint $hr$-Adaptive Meshing via Hypergraph Multi-Agent Deep Reinforcement Learning cs.CE · 2025 · author #3
  13. Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves cs.LG · 2025 · author #3
  14. Fast and Interpretable Protein Substructure Alignment via Optimal Transport q-bio.QM · 2025 · author #6
  15. ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data cs.LG · 2025 · author #4
  16. Algebraic Priors for Approximately Equivariant Networks cs.LG · 2025 · author #2
  17. Heterogeneous Sheaf Neural Networks cs.LG · 2024 · author #8
  18. xAI-Drop: Don't Use What You Cannot Explain cs.LG · 2024 · author #3
  19. Explaining the Explainers in Graph Neural Networks: a Comparative Study cs.LG · 2022 · author #5
  20. ncRNA Classification with Graph Convolutional Networks q-bio.GN · 2019 · author #4
  21. On Graph Classification Networks, Datasets and Baselines cs.LG · 2019 · author #3
  22. Drug-Drug Adverse Effect Prediction with Graph Co-Attention stat.ML · 2019 · author #4
  23. Spatio-Temporal Deep Graph Infomax cs.LG · 2019 · author #5
  24. GenHap: A Novel Computational Method Based on Genetic Algorithms for Haplotype Assembly q-bio.GN · 2018 · author #7
  25. Structure-Based Networks for Drug Validation q-bio.QM · 2018 · author #3
  26. Towards Sparse Hierarchical Graph Classifiers stat.ML · 2018 · author #5
  27. Introducing Curvature to the Label Space cs.LG · 2018 · author #3
  28. Deep Graph Infomax stat.ML · 2018 · author #4
  29. Applications of molecular communications to medicine: a survey cs.ET · 2018 · author #4
  30. Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders stat.ML · 2017 · author #3
  31. Graph Attention Networks stat.ML · 2017 · author #5
  32. Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data stat.ML · 2017 · author #6
  33. X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets stat.ML · 2016 · author #4
  34. Estimation and Modelling of PCBs Bioaccumulation in the Adriatic Sea Ecosystem q-bio.PE · 2014 · author #3
  35. StochKit-FF: Efficient Systems Biology on Multicore Architectures cs.CE · 2010 · author #3

Mentions

  • 1405.6384 #3 · backfill · confidence 0.70 Pietro Li\`o
  • 2605.24697 #7 · arxiv_oai · confidence 0.70 Pietro Li\`o
  • 2512.10439 #3 · arxiv_oai · confidence 0.70 Pietro Li\`o
  • 2605.23082 #3 · arxiv_oai · confidence 0.70 Pietro Li\`o
  • 2605.20248 #5 · arxiv_oai · confidence 0.70 Pietro Li\`o
  • 2506.08244 #2 · arxiv_oai · confidence 0.70 Pietro Li\`o
  • 2512.00242 #3 · arxiv_oai · confidence 0.70 Pietro Li\`o
  • 1007.1768 #3 · backfill · confidence 0.70 Pietro Li\`o

Frequent Coauthors