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

313 papers, page 1 of 7

1. ICLR 2026A Dense Subset Index for Collective Query Coverage
2. ICLR 2026A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
3. ICLR 2026A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
4. ICLR 2026A Near-Optimal Best-of-Both-Worlds Algorithm for Federated Bandits
5. ICLR 2026A One-shot Framework for Directed Evolution of Antibodies
6. ICLR 2026A Recovery Guarantee for Sparse Neural Networks
7. ICLR 2026A Scalable Constant-Factor Approximation Algorithm for $W_p$ Optimal Transport
8. ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
9. ICLR 2026A State-Transition Framework for Efficient LLM Reasoning
10. ICLR 2026A Study on PAVE Specification for Learnware
11. ICLR 2026A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space Models
12. ICLR 2026A Unified Federated Framework for Trajectory Data Preparation via LLMs
13. ICLR 2026A Unified Total Variation Framework for Membrane Potential Perturbation Dynamic
14. ICLR 2026Accelerating Inference for Multilayer Neural Networks with Quantum Computers
15. ICLR 2026Active Learning for Decision Trees with Provable Guarantees
16. ICLR 2026Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation
17. ICLR 2026Adaptive Conformal Guidance for Learning under Uncertainty
18. ICLR 2026AdaSpec: Adaptive Spectrum for Enhanced Node Distinguishability
19. ICLR 2026Advancing Multi-agent Traffic Simulation via R1-Style Reinforcement Fine-Tuning
20. ICLR 2026AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
21. ICLR 2026Aligner, Diagnose Thyself: A Meta-Learning Paradigm for Fusing Intrinsic Feedback in Preference Alignment
22. ICLR 2026An efficient, provably optimal, practical algorithm for the 0-1 loss linear classification problem
23. ICLR 2026An Ensemble Framework for Unbiased Language Model Watermarking
24. ICLR 2026An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
25. ICLR 2026AtC: Aggregate-then-Calibrate for Human-centered Assessment
26. ICLR 2026Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following
27. ICLR 2026Attention Smoothing Is All You Need For Unlearning
28. ICLR 2026AutoCode: LLMs as Problem Setters for Competitive Programming
29. ICLR 2026AutoDA-Timeseries: Automated Data Augmentation for Time Series
30. ICLR 2026AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms
31. ICLR 2026AWM: Accurate Weight-Matrix Fingerprint for Large Language Models
32. ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
33. ICLR 2026Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
34. ICLR 2026Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling
35. ICLR 2026Best-of-three-worlds Analysis for Dueling Bandits with Borda Winner
36. ICLR 2026Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
37. ICLR 2026Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding
38. ICLR 2026Beyond Visual Reconstruction Quality: Object Perception-aware 3D Gaussian Splatting for Autonomous Driving
39. ICLR 2026Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation
40. ICLR 2026BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation
41. ICLR 2026Boosted Trees on a Diet: Compact Models for Resource-Constrained Devices
42. ICLR 2026Boosting for Predictive Sufficiency
43. ICLR 2026BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
44. ICLR 2026C-Evolve: Consensus-based Evolution for Prompt Groups
45. ICLR 2026CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models
46. ICLR 2026ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
47. ICLR 2026ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World Simulation
48. ICLR 2026CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
49. ICLR 2026Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias
50. ICLR 2026Compositional amortized inference for large-scale hierarchical Bayesian models

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.