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

1,308 papers, page 24 of 27

1151. NeurIPS 2024Neural Conditional Probability for Uncertainty Quantification
1152. NeurIPS 2024Neural Experts: Mixture of Experts for Implicit Neural Representations
1153. NeurIPS 2024Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
1154. NeurIPS 2024Neural Isometries: Taming Transformations for Equivariant ML
1155. NeurIPS 2024NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
1156. NeurIPS 2024NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning
1157. NeurIPS 2024NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
1158. NeurIPS 2024Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
1159. NeurIPS 2024Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
1160. NeurIPS 2024NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
1161. NeurIPS 2024Norms for Managing Datasets: A Systematic Review of NeurIPS Datasets
1162. NeurIPS 2024Not All Tokens Are What You Need for Pretraining
1163. NeurIPS 2024ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
1164. NeurIPS 2024Oja's Algorithm for Streaming Sparse PCA
1165. NeurIPS 2024On Divergence Measures for Training GFlowNets
1166. NeurIPS 2024On Sampling Strategies for Spectral Model Sharding
1167. NeurIPS 2024On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
1168. NeurIPS 2024On the Power of Small-size Graph Neural Networks for Linear Programming
1169. NeurIPS 2024On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
1170. NeurIPS 2024On Weak Regret Analysis for Dueling Bandits
1171. NeurIPS 2024Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
1172. NeurIPS 2024OpenCDA-Loop: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception
1173. NeurIPS 2024OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
1174. NeurIPS 2024Operator World Models for Reinforcement Learning
1175. NeurIPS 2024Optimal Algorithms for Augmented Testing of Discrete Distributions
1176. NeurIPS 2024Optimal Algorithms for Learning Partitions with Faulty Oracles
1177. NeurIPS 2024Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
1178. NeurIPS 2024Optimal Scalarizations for Sublinear Hypervolume Regret
1179. NeurIPS 2024Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
1180. NeurIPS 2024Oracle-Efficient Reinforcement Learning for Max Value Ensembles
1181. NeurIPS 2024Ordered Momentum for Asynchronous SGD
1182. NeurIPS 2024OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
1183. NeurIPS 2024Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
1184. NeurIPS 2024PAC-Bayes-Chernoff bounds for unbounded losses
1185. NeurIPS 2024PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
1186. NeurIPS 2024PaCE: Parsimonious Concept Engineering for Large Language Models
1187. NeurIPS 2024PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
1188. NeurIPS 2024Paloma: A Benchmark for Evaluating Language Model Fit
1189. NeurIPS 2024Parameter Competition Balancing for Model Merging
1190. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
1191. NeurIPS 2024Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
1192. NeurIPS 2024Periodic agent-state based Q-learning for POMDPs
1193. NeurIPS 2024Perplexity-aware Correction for Robust Alignment with Noisy Preferences
1194. NeurIPS 2024Persistent Homology for High-dimensional Data Based on Spectral Methods
1195. NeurIPS 2024PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
1196. NeurIPS 2024Policy Optimization for Robust Average Reward MDPs
1197. NeurIPS 2024Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
1198. NeurIPS 2024Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
1199. NeurIPS 2024Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
1200. NeurIPS 2024Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images

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.