PPaperPicks

Mehul Motani

National University of Singapore, Singapore

17 papers at tracked venues · 6 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3262-0207 ↗Google Scholar ↗Homepage ↗

Venues

GECCO ×9ICML ×3AAAI ×2AISTATS ×2SIGKDD ×1

Frequent coauthors

Kei Sen Fong
×14
Rohan Ghosh
×3
Yunze Leng
×2
Juncheng Zhao
×1
Soumyadeep Dhar
×1
Jiaming Shi
×1
Shelvia Wongso
×1

Papers

  1. Evolutionary Identification of Scientific Equations Using Language-Model-Guided Symbolic Regression
    GECCO 2026 ·
    Juncheng Zhao
    ,
    Kei Sen Fong
    , Mehul Motani
  2. Generalization Analysis of Symbolic Regression Algorithms via Stability Theory
    GECCO 2026 ·
    Kei Sen Fong
    , Mehul Motani
  3. Hot off the Press: FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
    GECCO 2026 ·
    Kei Sen Fong
    , Mehul Motani
  4. Hot off the Press: Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
    GECCO 2026 ·
    Kei Sen Fong
    , Mehul Motani
  5. Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
    AAAI 2026 ·
    Yunze Leng
    ,
    Rohan Ghosh
    , Mehul Motani
  6. Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation
    GECCO 2026 ·
    Soumyadeep Dhar
    ,
    Kei Sen Fong
    , Mehul Motani
  7. Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression
    GECCO 2025 ·
    Jiaming Shi
    ,
    Kei Sen Fong
    , Mehul Motani
  8. Discovering Shared Function Structures with Adaptable Parameters for Multi-Level Modeling via Symbolic Regression
    GECCO 2025 ·
    Kei Sen Fong
    , Mehul Motani
  9. FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
    ICML 2025 ·
    Kei Sen Fong
    , Mehul Motani
  10. Mutual Information-Based Evolutionary Feature Construction via Minimizing Redundancy and Maximizing Relevance
    GECCO 2025 ·
    Yunze Leng
    ,
    Kei Sen Fong
    , Mehul Motani
  11. Ordered V-information Growth: A Fresh Perspective on Shared Information
    AISTATS 2025 ·
    Rohan Ghosh
    , Mehul Motani
  12. POVE: A Preoptimized Vault of Expressions for Symbolic Regression Research and Benchmarking
    SIGKDD 2025 ·
    Kei Sen Fong
    , Mehul Motani
  13. Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
    ICML 2025 ·
    Kei Sen Fong
    , Mehul Motani
  14. Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study
    ICML 2025 ·
    Shelvia Wongso
    ,
    Rohan Ghosh
    , Mehul Motani
  15. SLIME: Supralocal Interpretable Model-Agnostic Explanations via Evolved Equation-Based Surrogates
    GECCO 2025 ·
    Kei Sen Fong
    , Mehul Motani
  16. Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data
    AISTATS 2024 ·
    Kei Sen Fong
    , Mehul Motani
  17. Symbolic Regression Enhanced Decision Trees for Classification Tasks
    AAAI 2024 ·
    Kei Sen Fong
    , Mehul Motani