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 4 of 43

151. NeurIPS 2026CASAM: Consistency-Anchored Sharpness-Aware Minimization for Improved Model Generalization
152. NeurIPS 2026Casper: A Projection-Based Neurosymbolic Layer for Scalable & Guaranteed Constraint Satisfaction
153. NeurIPS 2026Catch Your Breath: Adaptive Computation for Self-Paced Sequence Production
154. NeurIPS 2026Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
155. NeurIPS 2026Categorical Bayes filtering for computational phenotyping in adaptive learning
156. NeurIPS 2026CATS: Acceptance-Oriented Critical Token Adaptive Selection for Multimodal Speculative Decoding
157. NeurIPS 2026CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning
158. NeurIPS 2026CCDiff: Inverse Canonical Correlation Analysis for Discovering Visual Differences in Natural Language
159. NeurIPS 2026CD-RCM: Generalizable Continuous-Depth Novel View Synthesis for Reflectance Confocal Microscopy
160. NeurIPS 2026CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting
161. NeurIPS 2026CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators
162. NeurIPS 2026Cheap Per-Component Testing for PLS, Stable Under Rotation
163. NeurIPS 2026Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move Sequences
164. NeurIPS 2026Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents
165. NeurIPS 2026CI4A: Semantic Component Interfaces for Agents Empowering Web Automation
166. NeurIPS 2026Circuit-Level Knowledge Distillation for Large Language Models
167. NeurIPS 2026Clapping: Removing Per-sample Storage for Pipeline Parallel Learning with Communication Compression
168. NeurIPS 2026Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse
169. NeurIPS 2026Clean-Label Poisoning for Gradient-Boosted Decision Trees
170. NeurIPS 2026Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
171. NeurIPS 2026Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
172. NeurIPS 2026CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction
173. NeurIPS 2026Closing the Approximation Gap in Simulation-free Latent SDEs
174. NeurIPS 2026Closing the Loop with Fixed-Point Self-Attention
175. NeurIPS 2026ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation
176. NeurIPS 2026CLUE: Correlated Latent Uncertainty for Single-Pass Deep Uncertainty Estimation
177. NeurIPS 2026ClusQuant: Mitigating Outliers with Clustering-Based Representations for Low-Precision LRMs
178. NeurIPS 2026Cluster with Auctions for Vector Search
179. NeurIPS 2026Clustered Randomized Smoothing for Stochastic Prediction Functions
180. NeurIPS 2026CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage
181. NeurIPS 2026Coherence Mechanisms for Provable Self-Improvement
182. NeurIPS 2026Complexity of Classical Acceleration for $\ell_1$-Regularized PageRank
183. NeurIPS 2026ComPose: When to Trust Hands for Object Pose Tracking
184. NeurIPS 2026COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression
185. NeurIPS 2026Computationally sufficient statistics for Ising models
186. NeurIPS 2026Compute Allocation Under Model-Provider Competition
187. NeurIPS 2026Concentrated Gradients Amplify Forgetting: Dominant-direction Projection for Continual Multimodal Learning
188. NeurIPS 2026ConfDet: Learning Reliable Confidence for MLLM-based Detection
189. NeurIPS 2026ConforFlux: Particle-Guided Trunk Repulsion for Diverse Protein Conformations
190. NeurIPS 2026Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs
191. NeurIPS 2026ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs
192. NeurIPS 2026Conservation Laws for Diffusion Models
193. NeurIPS 2026Conservatism Controllable Compositional Guidance for Offline Safe Reinforcement Learning
194. NeurIPS 2026Consolidating Rewarded Perturbations for LLM Post-Training
195. NeurIPS 2026Constrained Modulatory Reservoirs for Context-Dependent Computation
196. NeurIPS 2026Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
197. NeurIPS 2026ContextShift: A Controlled Benchmark for Context Dependence in Object Detection
198. NeurIPS 2026Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
199. NeurIPS 2026Contrastive Nonmyopic Objective Cost-Tradeoff Acquisition for Longitudinal Data
200. NeurIPS 2026Contribution-Aware Structured Sparsity for Model Merging

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.