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

1,214 papers, page 4 of 25

151. ICML 2026Geometry-based Schrödinger Bridges for Trustworthy Multimodal Fusion
152. ICML 2026GI-GCN: Global Interacted Graph Convolutional Networks via Dominant Sets for Graph Classification
153. ICML 2026Global Policy-Space Response Oracles for Two-Player Zero-Sum Games
154. ICML 2026GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures
155. ICML 2026GradPower: Powering Gradients for Faster Language Model Pre-Training
156. ICML 2026Graph Rewiring based on Flow Alignment for Improving Fluid Simulation
157. ICML 2026Grounding LLMs in Scientific Discovery via Embodied Actions
158. ICML 2026GRPO-based Cluster Decision Agent for Unknown-$\boldsymbol{K}$ Multi-view Clustering
159. ICML 2026GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache
160. ICML 2026Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing
161. ICML 2026Harmonized Dual Policy Improvement for Modelic Reinforcement Learning
162. ICML 2026HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
163. ICML 2026Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs
164. ICML 2026Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection
165. ICML 2026HieraScaffold: Learning Compact Hierarchical Representations for Scalable 4D LiDAR Generation
166. ICML 2026Higher-Order Certified Robustness for Regression
167. ICML 2026HOBIT: Hardness Optimized Batch Sampling for InfoNCE Training
168. ICML 2026Holonomy Grid Codes for Generalisation Under Directed Actions
169. ICML 2026Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
170. ICML 2026HypCL: Adapting CLIP in Hyperbolic Space for Continual Learning
171. ICML 2026Identifiable Token Correspondence for World Models
172. ICML 2026Implicit Action Chunking for Smooth Continuous Control
173. ICML 2026Improved Dynamic Algorithm for Non-monotone Submodular Maximization under Cardinality Constraint
174. ICML 2026Instance-Level Costs for Nuanced Classifier Evaluation
175. ICML 2026Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models
176. ICML 2026Is the Last Layer Sufficient for Uncertainty Quantification?
177. ICML 2026Kernel-based Maximum-of-difference Test for Two-sample Comparison
178. ICML 2026LagLLM: LLM-empowered lead–lag dependency learning for spatial-temporal time series forecasting
179. ICML 2026LASER: Learning Active Sensing for Continuum Field Reconstruction
180. ICML 2026LassoFlexNet: a Flexible Neural Architecture for Tabular Data
181. ICML 2026Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
182. ICML 2026LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs
183. ICML 2026Learning Biophysical Models of Large-Scale Multineuronal Data To Enable Precise Neurostimulation
184. ICML 2026Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
185. ICML 2026Learning Global Representation from Queries for Vectorized HD Map Construction
186. ICML 2026Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
187. ICML 2026Learning More from Less: Unlocking Internal Representations for Benchmark Compression
188. ICML 2026Learning Normalized Energy Models for Linear Inverse Problems
189. ICML 2026Learning Treatment Representations for Downstream Instrumental Variable Regression
190. ICML 2026Learning What to Generate: A Reinforcement Learning-based Closed-Loop Augmentation Framework for Person Re-identification
191. ICML 2026Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
192. ICML 2026Length Generalization Bounds for Transformers
193. ICML 2026Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
194. ICML 2026Leveraging Lineage Barcodes as Natural Augmentations for Contrastive Learning of Cell Fate in scRNA-seq Data
195. ICML 2026Likelihood Matching for Diffusion Models
196. ICML 2026LLM Priors for ERM over Programs
197. ICML 2026LLM-Guided Loop Bound Generation for Program Termination Verification
198. ICML 2026Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation
199. ICML 2026Local MAP Sampling for Diffusion Models
200. ICML 2026Lower Bounds for Frank-Wolfe on Strongly Convex Sets

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.