Symbolic Regression papers, 2023–2026

Key findings

• Symbolic Regression went from 63 papers in 2023 to 97 in 2026, roughly 1.5x in three years.
• NeurIPS publishes the most Symbolic Regression work: 118 papers from 2023 to 2026, 37% of the four-venue total.
• The fastest-growing overlap is with Theory · learning theory: papers tagged with both rose from 1 in 2023 to 10 in 2026.
• Among the 5 topics under Program Synthesis, it ranks #1 by 2026 paper count; the fastest grower in the group, Theorem Proving, is up 13x versus 1.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Conformal Prediction for Distribution-to-Distribution Regression
• ICML 2026Approximation Bounds for Transformer Networks with Application to Regression
• ICLR 2026Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
• CVPR 2026CoLoR The Devil is in Scene Coordinate Regression for Large-Scale
• NeurIPS 2025Ascent Fails to Forget
• ICML 2025Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
• ICLR 2025A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
• CVPR 2025R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
• NeurIPS 2024Distributed Sparse Regression via Penalization
• ICML 2024$H$-Consistency Guarantees for Regression
• ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
• CVPR 2024Map-Relative Pose Regression for Visual Re-Localization
• NeurIPS 2023Collaboratively Learning Linear Models with Structured Missing Data
• ICML 2023A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
• ICLR 2023Fast Nonlinear Vector Quantile Regression
• CVPR 2023DistilPose: Tokenized Pose Regression With Heatmap Distillation
• NeurIPS 2026DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
• ICML 2026AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
• ICLR 2026GenSR: Symbolic regression based on equation generative space
• CVPR 2026Sparse-View Localization via Online Neural 3D Regression

All Symbolic Regression papers

78 papers, page 1 of 2

1. ICLR 2026A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization
2. ICLR 2026Bayesian Post Training Enhancement of Regression Models with Calibrated Rankings
3. ICLR 2026Compositional Neuro-Symbolic Concepts in Neural Activities
4. ICLR 2026Continuous multinomial logistic regression for neural decoding
5. ICLR 2026Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen Data
6. ICLR 2026Deep Learning for Subspace Regression
7. ICLR 2026Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression
8. ICLR 2026Direct Doubly Robust Estimation of Conditional Quantile Contrasts
9. ICLR 2026Distributionally Robust Linear Regression with Block Lewis Weights
10. ICLR 2026Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
11. ICLR 2026GenSR: Symbolic regression based on equation generative space
12. ICLR 2026HATSolver: Learning Gröbner Bases with Hierarchical Attention Transformers
13. ICLR 2026Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares
14. ICLR 2026Inferring the Invisible: Neuro-Symbolic Rule Discovery for Missing Value Imputation
15. ICLR 2026Learning under Quantization for High-Dimensional Linear Regression
16. ICLR 2026Neural Optimal Transport Meets Multivariate Conformal Prediction
17. ICLR 2026Non-Asymptotic Analysis of Efficiency in Conformalized Regression
18. ICLR 2026On Coreset for LASSO Regression Problem with Sensitivity Sampling
19. ICLR 2026Predicting Kernel Regression Learning Curves from Only Raw Data Statistics
20. ICLR 2026Programming by Backprop: Learning Behaviour from Symbolic Descriptions
21. ICLR 2026Robust Equation Structure learning with Adaptive Refinement
22. ICLR 2026Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?
23. ICLR 2026SR-Scientist: Scientific Equation Discovery With Agentic AI
24. ICLR 2026TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
25. ICLR 2025A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
26. ICLR 2025Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
27. ICLR 2025Attention layers provably solve single-location regression
28. ICLR 2025Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior
29. ICLR 2025Benign Overfitting in Out-of-Distribution Generalization of Linear Models
30. ICLR 2025Can Large Language Models Understand Symbolic Graphics Programs?
31. ICLR 2025Discovering Group Structures via Unitary Representation Learning
32. ICLR 2025Distribution-Free Data Uncertainty for Neural Network Regression
33. ICLR 2025Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression
34. ICLR 2025Improving Deep Regression with Tightness
35. ICLR 2025KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics
36. ICLR 2025LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
37. ICLR 2025Near-optimal Active Regression of Single-Index Models
38. ICLR 2025No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
39. ICLR 2025ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization
40. ICLR 2025RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
41. ICLR 2025RegMix: Data Mixture as Regression for Language Model Pre-training
42. ICLR 2025State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
43. ICLR 2025Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
44. ICLR 2025Towards Learning High-Precision Least Squares Algorithms with Sequence Models
45. ICLR 2025Transformers Handle Endogeneity in In-Context Linear Regression
46. ICLR 2025TRENDy: Temporal Regression of Effective Nonlinear Dynamics
47. ICLR 2024An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
48. ICLR 2024Conformal Prediction via Regression-as-Classification
49. ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
50. ICLR 2024Graphical Multioutput Gaussian Process with Attention

FAQ

How many Symbolic Regression papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

316 in total: 63 in 2023, 81 in 2024, 75 in 2025, 97 in 2026.

How many Symbolic Regression papers are at NeurIPS 2026?

NeurIPS 2026 has 34 Symbolic Regression papers, versus 30 the year before.

How many Symbolic Regression papers are at ICLR 2026?

ICLR 2026 has 24 Symbolic Regression papers, versus 22 the year before.

How many Symbolic Regression papers are at ICML 2026?

ICML 2026 has 36 Symbolic Regression papers, versus 21 the year before.

How many Symbolic Regression papers are at CVPR 2026?

CVPR 2026 has 3 Symbolic Regression papers, versus 2 the year before.

Which conference publishes the most Symbolic Regression papers?

NeurIPS, with 118 papers from 2023 to 2026.