Latest papers 128

15 papers in the last four weeks, up 15% on the four weeks before. 0.1% of all new papers.

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  1. An Interpretable Approach to PDE Solution Discovery via Structural Experience Distillation

    Oct 8, 2026Yunpeng Gong, Huolong Wu, Can Yang +1PDE SolvingSymbolic Regression

  2. RISR: Residual-Informed Scientific Equation Discovery with Large Language Models

    Oct 8, 2026Haobo Li, Wenshuo Zhang, Wenxiao Zhao +6Symbolic RegressionLarge Language Model-Guided Scientific Discovery

  3. Coefficient Calibration as Selection Pressure in Symbolic Regression

    Oct 7, 2026Mattia Billa, Veronica Guidetti, Federica MandreoliSymbolic RegressionModel Selection

  4. Symbolic Density Estimators for Unnormalized Distributions

    Oct 7, 2026Vikas Kanaujia, Riyansha Singh, Shashank Sharma +1Density EstimationSymbolic Regression

  5. Explore, Then Commit: Measurement-Efficient Scientific Law Discovery with Language Models

    Oct 6, 2026Kautik Mandve, Dileepa FernandoScientific DiscoveryScientific Hypothesis Generation

  6. Synthesizing Physics Formulae with Transformers

    Oct 2, 2026Shuwei Wang, Vadim Bulitko, Michael Youngblood +5Symbolic Regression

  7. How AI Agents Discover Scientific Equations: From Hydrotope Rediscovery to New Water-Wave Amplitudes

    Sep 30, 2026Zihan Zhou, Digvijay Wadekar, Matias ZaldarriagaAI Agents for Scientific DiscoveryScientific Discovery

  8. Explainable Machine Learning for Multilayer Planar Winding Inductance Estimation

    Sep 29, 2026Spyros Rigas, Theofilos Papadopoulos, Georgios Alexandridis +1Parameter EstimationSurrogate Modeling

  9. EvoMO-SR: Multiobjective LLM-based Evolution of Symbolic Expressions with substructure guidance

    Sep 28, 2026Cristina Rossetti, Anna V. Kononova, Thomas Bäck +2Symbolic RegressionLarge Language Model-Guided Scientific Discovery

  10. SRHarness: A Harness for Agentic Symbolic Regression

    Sep 28, 2026Zihan Yu, Shixuan Zhou, Hao Huang +2Long-Horizon LLM AgentsLarge Language Model-Guided Scientific Discovery

  11. SymbolicArena: A Unified Infrastructure for Benchmark Distillation and Dynamic Evaluation in Symbolic Regression

    Sep 28, 2026Ziwen Zhang, Xiju Wu, Yuheng Jing +9Benchmark DesignAutomated Evaluation

  12. Self-Evolving Multi-Agent Symbolic Discovery for Financial Fundamental Analysis

    Sep 26, 2026Kelvin J. L. Koa, Filip Orestav, Shengqiong Wu +2FinanceSymbolic Regression

  13. Not Every Term Adds New Structure: Sobolev Novelty for Symbolic Regression

    Sep 26, 2026Boxiao Wang, Kai Li, Yuheng Jing +4Symbolic Regression

  14. Recovery-Directed Symbolic Distillation of Neural Likelihoods

    Sep 26, 2026Kianté Fernandez, Xinwei LiSymbolic RegressionSimulation-Based Inference

  15. SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression

    Sep 25, 2026Benjamin Léger, Shubham Gupta, Samy Mammeri +3Symbolic RegressionCross-Modal Alignment

  16. Equation discovery with Bayesian tree-adjoining grammars

    Sep 25, 2026Christopher A. Lindley, Nikolaos Dervilis, Keith WordenNonlinear System IdentificationScientific Discovery

  17. Discovery of fully efficient fault indicators along a data-based diagnosis process

    Sep 23, 2026Igor Bezmaternykh, Louise Travé-Massuyès, Elodie ChantheryDecision Tree LearningFault Diagnosis

  18. LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study

    Sep 10, 2026Jorge López-Varela, J. Ignacio Hidalgo, José-Manuel Muñoz +6LLM AuditingExplainability Evaluation

  19. AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery

    Sep 8, 2026Sayan Dhan, Selvaraju NatarajanQuantitative FinanceSparse-Reward RL

  20. FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search

    Sep 4, 2026Cassandra Durr, Alvaro Köhn-Luque, Chris Jewell +1ODE DiscoverySymbolic Regression

  21. SMILE: Bridging Continuous Optimization and Discrete Symbolic Recovery

    Sep 4, 2026Mansooreh Montazerin, Antonio Ortega, Ajitesh SrivastavaInterpretable MLSymbolic Regression

  22. Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming

    Sep 3, 2026Hao Mao, Xu Tony Liu, Shuai Lu +3GPU AccelerationGenetic Programming

  23. Neural Symbollic Regression Using Deep Learning and Sparse Modelling

    Sep 1, 2026Ravi Kumar U, Sumitra SScientific MLNeurosymbolic Learning

  24. DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement

    Sep 1, 2026Pancheng Niu, Jun Guo, Qiaolin He +2Parameter EstimationPhysics-Informed ML

  25. Geometry-Constrained Kolmogorov-Arnold Networks: Learning Edge Geometry via Banach Duality

    Aug 26, 2026K S Sesh KumarKolmogorov-Arnold NetworksSymbolic Regression

  26. Test-Time Scaling for Scientific Equation Discovery

    Aug 21, 2026Haowei Lin, Hubert Lim, Xiangyu Wang +2Inference-Time SearchTest-Time Scaling

  27. Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fields

    Aug 19, 2026YuJie Huang, WenWu He, ZhuoEr Lin +3PDE DiscoveryAI Agents for Scientific Discovery

  28. AutoSR: Automatic Symbolic Regression by Searching Research States

    Aug 17, 2026Kejia Zhang, Youran Sun, Xinyu Ren +2Symbolic RegressionAutonomous Scientific Discovery