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 2 of 2

51. ICLR 2024How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
52. ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
53. ICLR 2024ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
54. ICLR 2024Reinforcement Symbolic Regression Machine
55. ICLR 2024Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
56. ICLR 2024Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
57. ICLR 2024SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
58. ICLR 2024Spectrally Transformed Kernel Regression
59. ICLR 2024SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
60. ICLR 2024SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
61. ICLR 2024Transformers can optimally learn regression mixture models
62. ICLR 2023Binding Language Models in Symbolic Languages
63. ICLR 2023Deep Generative Symbolic Regression
64. ICLR 2023Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
65. ICLR 2023Easy Differentially Private Linear Regression
66. ICLR 2023Fast Nonlinear Vector Quantile Regression
67. ICLR 2023Improving Deep Regression with Ordinal Entropy
68. ICLR 2023Learning Label Encodings for Deep Regression
69. ICLR 2023Learning Symbolic Models for Graph-structured Physical Mechanism
70. ICLR 2023Neuro-Symbolic Procedural Planning with Commonsense Prompting
71. ICLR 2023On the Saturation Effect of Kernel Ridge Regression
72. ICLR 2023Optimal Activation Functions for the Random Features Regression Model
73. ICLR 2023Provably Auditing Ordinary Least Squares in Low Dimensions
74. ICLR 2023Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
75. ICLR 2023Softened Symbol Grounding for Neuro-symbolic Systems
76. ICLR 2023Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
77. ICLR 2023Transformer-based model for symbolic regression via joint supervised learning
78. ICLR 2023Weighted Clock Logic Point Process

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.