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Ricardo Henao

12 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

ICML ×3ACL ×2AISTATS ×2NAACL ×2AAAI ×1EMNLP ×1NeurIPS ×1

Frequent coauthors

Hongye Liu
×3
Lawrence Carin
×3
Dhanajit Brahma
×2
Liang Ding
×1
Ruolin Meng
×1
Ming-Yu Chung
×1
Xiangyu Guo
×1
Mohammed Fayiz Parappan
×1
Deming Sheng
×1
Aaron T. Wang
×1
William Convertino
×1
Xiang Cheng
×1

Papers

  1. Calibrating Model-Based Evaluation Metrics for Summarization
    ACL 2026 ·
    Hongye Liu
    ,
    Dhanajit Brahma
    , Ricardo Henao
  2. Learning to Control Summaries with Score Ranking
    ACL 2026 ·
    Hongye Liu
    ,
    Liang Ding
    , Ricardo Henao
  3. Coupling Generative Modeling and an Autoencoder with the Causal Bridge
    NeurIPS 2025 ·
    Ruolin Meng
    ,
    Ming-Yu Chung
    ,
    Dhanajit Brahma
    , Ricardo Henao,
    Lawrence Carin
  4. Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics
    AISTATS 2025 ·
    Xiangyu Guo
    , Ricardo Henao
  5. Learning Subjective Label Distributions via Sociocultural Descriptors
    EMNLP 2025 ·
    Mohammed Fayiz Parappan
    , Ricardo Henao
  6. Learning Survival Distributions with the Asymmetric Laplace Distribution
    ICML 2025 ·
    Deming Sheng
    , Ricardo Henao
  7. Learning to Substitute Words with Model-based Score Ranking
    NAACL 2025 ·
    Hongye Liu
    , Ricardo Henao
  8. On Understanding Attention-Based In-Context Learning for Categorical Data
    ICML 2025 ·
    Aaron T. Wang
    ,
    William Convertino
    ,
    Xiang Cheng
    , Ricardo Henao,
    Lawrence Carin
  9. Proactive Pseudo-Intervention: Pre-informed Contrastive Learning For Interpretable Vision Models
    AAAI 2025 ·
    Dong Wang
    ,
    Yuewei Yang
    ,
    Liqun Chen
    ,
    Zhe Gan
    , Ricardo Henao,
    Lawrence Carin
  10. Adaptive Discretization for Event PredicTion (ADEPT)
    AISTATS 2024 ·
    Jimmy Hickey
    , Ricardo Henao,
    Daniel Wojdyla
    ,
    Michael J. Pencina
    ,
    Matthew Engelhard
  11. Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources
    ICML 2024 ·
    Meng Xia
    ,
    Jonathan Wilson
    ,
    Benjamin Goldstein
    , Ricardo Henao
  12. Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
    NAACL 2024 ·
    Rui Wang
    ,
    Tong Yu
    ,
    Ruiyi Zhang
    ,
    Sungchul Kim
    ,
    Ryan A. Rossi
    ,
    Handong Zhao
    ,
    Junda Wu
    ,
    Subrata Mitra
    ,
    Lina Yao
    , Ricardo Henao