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

358 papers, page 1 of 8

1. ICML 2024$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
2. ICML 2024$H$-Consistency Guarantees for Regression
3. ICML 2024A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
4. ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
5. ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
6. ICML 2024A fast algorithm to simulate nonlinear resistive networks
7. ICML 2024A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
8. ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
9. ICML 2024A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
10. ICML 2024A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
11. ICML 2024A Provable Decision Rule for Out-of-Distribution Detection
12. ICML 2024A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
13. ICML 2024A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
14. ICML 2024A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
15. ICML 2024A Subquadratic Time Algorithm for Robust Sparse Mean Estimation
16. ICML 2024A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
17. ICML 2024Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
18. ICML 2024Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
19. ICML 2024Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
20. ICML 2024Active Preference Learning for Large Language Models
21. ICML 2024Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
22. ICML 2024Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
23. ICML 2024Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
24. ICML 2024Adaptive Text Watermark for Large Language Models
25. ICML 2024Adaptively Perturbed Mirror Descent for Learning in Games
26. ICML 2024Agnostic Sample Compression Schemes for Regression
27. ICML 2024All-in-one simulation-based inference
28. ICML 2024AlphaFold Meets Flow Matching for Generating Protein Ensembles
29. ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
30. ICML 2024An Effective Dynamic Gradient Calibration Method for Continual Learning
31. ICML 2024An Explicit Frame Construction for Normalizing 3D Point Clouds
32. ICML 2024An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
33. ICML 2024An LLM Compiler for Parallel Function Calling
34. ICML 2024Analyzing $D^\alpha$ seeding for $k$-means
35. ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
36. ICML 2024AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
37. ICML 2024Arrows of Time for Large Language Models
38. ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
39. ICML 2024AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
40. ICML 2024Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
41. ICML 2024Auto-Encoding Morph-Tokens for Multimodal LLM
42. ICML 2024Autoencoding Conditional Neural Processes for Representation Learning
43. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
44. ICML 2024Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
45. ICML 2024BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
46. ICML 2024BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
47. ICML 2024Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
48. ICML 2024Best Arm Identification for Stochastic Rising Bandits
49. ICML 2024Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
50. ICML 2024BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization

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.