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

47 papers, page 1 of 1

1. ICML 2023A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
2. ICML 2023Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
3. ICML 2023Alternately Optimized Graph Neural Networks
4. ICML 2023Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
5. ICML 2023BiBench: Benchmarking and Analyzing Network Binarization
6. ICML 2023Certified Robust Neural Networks: Generalization and Corruption Resistance
7. ICML 2023Controllable Neural Symbolic Regression
8. ICML 2023Distributed Linear Bandits under Communication Constraints
9. ICML 2023Does a Neural Network Really Encode Symbolic Concepts?
10. ICML 2023Effective Neural Topic Modeling with Embedding Clustering Regularization
11. ICML 2023Efficiently predicting high resolution mass spectra with graph neural networks
12. ICML 2023Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
13. ICML 2023Eventual Discounting Temporal Logic Counterfactual Experience Replay
14. ICML 2023Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
15. ICML 2023Generalization on the Unseen, Logic Reasoning and Degree Curriculum
16. ICML 2023Generalizing Neural Wave Functions
17. ICML 2023Hierarchical Neural Coding for Controllable CAD Model Generation
18. ICML 2023Implicit Neural Spatial Representations for Time-dependent PDEs
19. ICML 2023Improving Graph Neural Networks with Learnable Propagation Operators
20. ICML 2023Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
21. ICML 2023Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
22. ICML 2023Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
23. ICML 2023Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
24. ICML 2023Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
25. ICML 2023Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
26. ICML 2023Multi-channel Autobidding with Budget and ROI Constraints
27. ICML 2023Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
28. ICML 2023Neural signature kernels as infinite-width-depth-limits of controlled ResNets
29. ICML 2023NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes
30. ICML 2023Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
31. ICML 2023On Regularization and Inference with Label Constraints
32. ICML 2023On the Expressive Power of Geometric Graph Neural Networks
33. ICML 2023On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization
34. ICML 2023On the Initialization of Graph Neural Networks
35. ICML 2023Online Nonstochastic Control with Adversarial and Static Constraints
36. ICML 2023Parallel Neurosymbolic Integration with Concordia
37. ICML 2023Path Neural Networks: Expressive and Accurate Graph Neural Networks
38. ICML 2023Rethink DARTS Search Space and Renovate a New Benchmark
39. ICML 2023RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
40. ICML 2023Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
41. ICML 2023Spatial Implicit Neural Representations for Global-Scale Species Mapping
42. ICML 2023The Hessian perspective into the Nature of Convolutional Neural Networks
43. ICML 2023The Monge Gap: A Regularizer to Learn All Transport Maps
44. ICML 2023Tighter Bounds on the Expressivity of Transformer Encoders
45. ICML 2023Under-Counted Tensor Completion with Neural Incorporation of Attributes
46. ICML 2023UPSCALE: Unconstrained Channel Pruning
47. ICML 2023Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes

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.