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

2,111 papers, page 24 of 43

1151. NeurIPS 2025Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
1152. NeurIPS 2025Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
1153. NeurIPS 2025GMM-based VAE model with Normalising Flow for effective stochastic segmentation
1154. NeurIPS 2025Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
1155. NeurIPS 2025GradMetaNet: An Equivariant Architecture for Learning on Gradients
1156. NeurIPS 2025GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
1157. NeurIPS 2025Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
1158. NeurIPS 2025GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
1159. NeurIPS 2025Group-Level Data Selection for Efficient Pretraining
1160. NeurIPS 2025Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
1161. NeurIPS 2025Gymnasium: A Standard Interface for Reinforcement Learning Environments
1162. NeurIPS 2025GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
1163. NeurIPS 2025Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
1164. NeurIPS 2025Hankel Singular Value Regularization for Highly Compressible State Space Models
1165. NeurIPS 2025HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
1166. NeurIPS 2025HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
1167. NeurIPS 2025HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
1168. NeurIPS 2025Hierarchical Implicit Neural Emulators
1169. NeurIPS 2025HoliTom: Holistic Token Merging for Fast Video Large Language Models
1170. NeurIPS 2025HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
1171. NeurIPS 2025How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
1172. NeurIPS 2025Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
1173. NeurIPS 2025Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
1174. NeurIPS 2025Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
1175. NeurIPS 2025Hyperbolic Fine-Tuning for Large Language Models
1176. NeurIPS 2025Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
1177. NeurIPS 2025Improved Algorithms for Fair Matroid Submodular Maximization
1178. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
1179. NeurIPS 2025Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards
1180. NeurIPS 2025Improved Training Technique for Shortcut Models
1181. NeurIPS 2025Improving Bilinear RNN with Closed-loop Control
1182. NeurIPS 2025INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
1183. NeurIPS 2025Inductive Domain Transfer In Misspecified Simulation-Based Inference
1184. NeurIPS 2025InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
1185. NeurIPS 2025Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
1186. NeurIPS 2025InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
1187. NeurIPS 2025Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
1188. NeurIPS 2025Integration Matters for Learning PDEs with Backwards SDEs
1189. NeurIPS 2025Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
1190. NeurIPS 2025Inverse Methods for Missing Data Imputation
1191. NeurIPS 2025Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
1192. NeurIPS 2025Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
1193. NeurIPS 2025Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
1194. NeurIPS 2025KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
1195. NeurIPS 2025KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
1196. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
1197. NeurIPS 2025KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
1198. NeurIPS 2025LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents
1199. NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
1200. NeurIPS 2025Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression

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.