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 1 of 4

1. NeurIPS 2026A Unified Neural Architecture for Variable-Wise Shape Constraints
2. NeurIPS 2026B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
3. NeurIPS 2026Batched Stochastic Linear Bandits with 1-Bit Communication Constraints
4. NeurIPS 2026Beyond the Half Approximation: Fair and Efficient Online Class Matching
5. NeurIPS 2026COMPOSE: Composing Future Theorems from Citations and Formal Structure
6. NeurIPS 2026Constrained MDPs with Trajectory Constraints
7. NeurIPS 2026Expressive Power of Deep Homomorphism Networks over Relational Databases
8. NeurIPS 2026Federated Logic Gate Networks via Boolean Feature Selection
9. NeurIPS 2026Ferrogen: Generative Pipeline for Guided Search of Novel Ferroelectric Material for Logic and Memory
10. NeurIPS 2026Finite-Sample and Communication-Efficient Networked Information Aggregation
11. NeurIPS 2026GeoX: Mastering Geospatial Reasoning Through Self-Play and Verifiable Rewards
12. NeurIPS 2026Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
13. NeurIPS 2026Harnessing Accurate and Automatic Trend Detection in Data Streams via Tbps-Level Inference
14. NeurIPS 2026Interpretable Multiway-Split Trees
15. NeurIPS 2026Learning Unbiased Permutations via Flow Matching
16. NeurIPS 2026Mining Logic under Uncertainty: Probabilistic Soft Logic with Energy-Based Inference for Chain-of-Thought Verification
17. NeurIPS 2026Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback
18. NeurIPS 2026Neural Networks With Dense Weights Are Not Universal Approximators
19. NeurIPS 2026Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
20. NeurIPS 2026Overcoming Kernel Redundancy for Scaling Logic Gate Networks
21. NeurIPS 2026ProjKAN: Model Compression via KAN Projections to Bridge the Hypothesis and Capacity Gaps
22. NeurIPS 2026Reconciling Safety and Performance via Dual-Expert Offline Imitation Learning
23. NeurIPS 2026Reliable Clustering and Quantization via Distortion-Constrained Optimal Transport
24. NeurIPS 2026Richer or More Gates? Fan-In Trade-offs in Learnable Logic Circuits
25. NeurIPS 2026Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic
26. NeurIPS 2026Safe Offline Reinforcement Learning using Behavior Regularisation and Latent Feasibility-Guidance
27. NeurIPS 2026Safe-PG-LQR: Provably Safe, Convergent and Optimal Model-Free Linear Quadratic Regulator with Hard Constraints
28. NeurIPS 2026SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning
29. NeurIPS 2026Small Model Portfolios for Many Deployment Profiles: Submodular Coverage under Bundled Constraints
30. NeurIPS 2026SynGeo: Synergizing Seeing and Proving through Revisable Geometric States
31. NeurIPS 2026Temporal Smoothness Constraints on Efficient Neurobiological Codes Imply Temporal Specialization
32. NeurIPS 2026TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks
33. NeurIPS 2025Automaton Constrained Q-Learning
34. NeurIPS 2025Characterizing the Expressivity of Fixed-Precision Transformer Language Models
35. NeurIPS 2025Codifying Character Logic in Role-Playing
36. NeurIPS 2025Constrained Best Arm Identification
37. NeurIPS 2025DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
38. NeurIPS 2025Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks
39. NeurIPS 2025Embeddings as Probabilistic Equivalence in Logic Programs
40. NeurIPS 2025Enforcing convex constraints in Graph Neural Networks
41. NeurIPS 2025ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
42. NeurIPS 2025Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
43. NeurIPS 2025Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
44. NeurIPS 2025Imitation Learning with Temporal Logic Constraints
45. NeurIPS 2025Knee-Deep in C-RASP: A Transformer Depth Hierarchy
46. NeurIPS 2025LLM Query Scheduling with Prefix Reuse and Latency Constraints
47. NeurIPS 2025Logic.py: Bridging the Gap between LLMs and Constraint Solvers
48. NeurIPS 2025Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
49. NeurIPS 2025Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
50. NeurIPS 2025Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming

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.