Logic and Neural papers, 2023–2026

Key findings

• Logic and Neural fell from 162 papers in 2023 to 86 in 2026, so interest is cooling.
• NeurIPS publishes the most Logic and Neural work: 173 papers from 2023 to 2026, 47% of the four-venue total.
• The fastest-growing overlap is with Social aspects · accountability transparency and interpretability: papers tagged with both rose from 1 in 2023 to 8 in 2026.
• Among the 5 topics under Neurosymbolic AI, it ranks #2 by 2026 paper count; the fastest grower in the group, Mathematical Reasoning, is up 10x versus 0.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
• ICML 2026Length Generalization Bounds for Transformers
• ICLR 2026From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
• CVPR 2026Med-CMR A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic
• NeurIPS 2025Characterizing the Expressivity of Fixed-Precision Transformer Language Models
• ICML 2025Counterfactual Graphical Models: Constraints and Inference
• ICLR 2025Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
• CVPR 2025Learning Affine Correspondences by Integrating Geometric Constraints
• NeurIPS 2024Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
• ICML 2024A Field Guide for Pacing Budget and ROS Constraints
• ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
• CVPR 2024MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints
• NeurIPS 2023Aligning Gradient and Hessian for Neural Signed Distance Function
• ICML 2023Eventual Discounting Temporal Logic Counterfactual Experience Replay
• ICLR 2023Global Explainability of GNNs via Logic Combination of Learned Concepts
• CVPR 2023Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model
• NeurIPS 2026Batched Stochastic Linear Bandits with 1-Bit Communication Constraints
• ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
• ICLR 2026The Logical Expressiveness of Topological Neural Networks
• CVPR 2026NeuroRule Bridging Vision and Logic with Differentiable Rule Induction

All Logic and Neural papers

173 papers, page 4 of 4

151. NeurIPS 2023Riemannian Residual Neural Networks
152. NeurIPS 2023Sheaf Hypergraph Networks
153. NeurIPS 2023Should Under-parameterized Student Networks Copy or Average Teacher Weights?
154. NeurIPS 2023Simplicity Bias in 1-Hidden Layer Neural Networks
155. NeurIPS 2023Simplifying Neural Network Training Under Class Imbalance
156. NeurIPS 2023Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics
157. NeurIPS 2023SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
158. NeurIPS 2023Soft-Unification in Deep Probabilistic Logic
159. NeurIPS 2023Spectral Evolution and Invariance in Linear-width Neural Networks
160. NeurIPS 2023Spiking PointNet: Spiking Neural Networks for Point Clouds
161. NeurIPS 2023StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
162. NeurIPS 2023Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
163. NeurIPS 2023Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees
164. NeurIPS 2023TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
165. NeurIPS 2023Towards Label Position Bias in Graph Neural Networks
166. NeurIPS 2023Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
167. NeurIPS 2023Training Neural Networks is NP-Hard in Fixed Dimension
168. NeurIPS 2023Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
169. NeurIPS 2023Training Transformers with 4-bit Integers
170. NeurIPS 2023Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
171. NeurIPS 2023Universal Prompt Tuning for Graph Neural Networks
172. NeurIPS 2023UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field
173. NeurIPS 2023When Do Neural Nets Outperform Boosted Trees on Tabular Data?

FAQ

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

366 in total: 162 in 2023, 64 in 2024, 54 in 2025, 86 in 2026.

How many Logic and Neural papers are at NeurIPS 2026?

NeurIPS 2026 has 32 Logic and Neural papers, versus 23 the year before.

How many Logic and Neural papers are at ICLR 2026?

ICLR 2026 has 20 Logic and Neural papers, versus 11 the year before.

How many Logic and Neural papers are at ICML 2026?

ICML 2026 has 25 Logic and Neural papers, versus 12 the year before.

How many Logic and Neural papers are at CVPR 2026?

CVPR 2026 has 9 Logic and Neural papers, versus 8 the year before.

Which conference publishes the most Logic and Neural papers?

NeurIPS, with 173 papers from 2023 to 2026.