Simulation for Driving papers, 2023–2026

Key findings

• Simulation for Driving went from 969 papers in 2023 to 2,200 in 2026, roughly 2.3x in three years.
• NeurIPS publishes the most Simulation for Driving work: 2,111 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 27 in 2023 to 205 in 2026.
• Among the 5 topics under Autonomous Driving, it ranks #1 by 2026 paper count; the fastest grower in the group, Motion Planning, is up 2.4x versus 2.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
• ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
• ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
• CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
• NeurIPS 2025A compressive-expressive communication framework for compositional representations
• ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
• ICML 2024$H$-Consistency Guarantees for Regression
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
• NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
• ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
• ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
• CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
• NeurIPS 2026A Bitter Lesson for Data Filtering
• ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
• ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
• CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for

All Simulation for Driving papers

176 papers, page 1 of 4

1. ICLR 2024$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
2. ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
3. ICLR 2024A 2-Dimensional State Space Layer for Spatial Inductive Bias
4. ICLR 2024A Characterization Theorem for Equivariant Networks with Point-wise Activations
5. ICLR 2024A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
6. ICLR 2024A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
7. ICLR 2024A Differentially Private Clustering Algorithm for Well-Clustered Graphs
8. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
9. ICLR 2024A Quadratic Synchronization Rule for Distributed Deep Learning
10. ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
11. ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
12. ICLR 2024Accurate Forgetting for Heterogeneous Federated Continual Learning
13. ICLR 2024Adaptive Regret for Bandits Made Possible: Two Queries Suffice
14. ICLR 2024AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
15. ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
16. ICLR 2024ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
17. ICLR 2024AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
18. ICLR 2024An Efficient Tester-Learner for Halfspaces
19. ICLR 2024An Emulator for Fine-tuning Large Language Models using Small Language Models
20. ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
21. ICLR 2024ASID: Active Exploration for System Identification in Robotic Manipulation
22. ICLR 2024BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
23. ICLR 2024Batch normalization is sufficient for universal function approximation in CNNs
24. ICLR 2024BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
25. ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
26. ICLR 2024BENO: Boundary-embedded Neural Operators for Elliptic PDEs
27. ICLR 2024Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
28. ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
29. ICLR 2024CausalLM is not optimal for in-context learning
30. ICLR 2024CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
31. ICLR 2024Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
32. ICLR 2024ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
33. ICLR 2024Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
34. ICLR 2024COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
35. ICLR 2024Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
36. ICLR 2024Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
37. ICLR 2024Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
38. ICLR 2024Delta-AI: Local objectives for amortized inference in sparse graphical models
39. ICLR 2024Differentiable Euler Characteristic Transforms for Shape Classification
40. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
41. ICLR 2024DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
42. ICLR 2024Diffusion Model for Dense Matching
43. ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
44. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
45. ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
46. ICLR 2024EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
47. ICLR 2024Empirical Likelihood for Fair Classification
48. ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
49. ICLR 2024EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
50. ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection

FAQ

How many Simulation for Driving papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

5,882 in total: 969 in 2023, 1,308 in 2024, 1,405 in 2025, 2,200 in 2026.

How many Simulation for Driving papers are at NeurIPS 2026?

NeurIPS 2026 has 940 Simulation for Driving papers, versus 542 the year before.

How many Simulation for Driving papers are at ICLR 2026?

ICLR 2026 has 313 Simulation for Driving papers, versus 228 the year before.

How many Simulation for Driving papers are at ICML 2026?

ICML 2026 has 363 Simulation for Driving papers, versus 275 the year before.

How many Simulation for Driving papers are at CVPR 2026?

CVPR 2026 has 584 Simulation for Driving papers, versus 360 the year before.

Which conference publishes the most Simulation for Driving papers?

NeurIPS, with 2,111 papers from 2023 to 2026.