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

899 papers, page 4 of 18

151. ICLR 2026Learning Escorted Protocols For Multistate Free-Energy Estimation
152. ICLR 2026Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
153. ICLR 2026Learning for Highly Faithful Explainability
154. ICLR 2026Learning to Segment for Vehicle Routing Problems
155. ICLR 2026Learning to Weight Parameters for Training Data Attribution
156. ICLR 2026Learning under Quantization for High-Dimensional Linear Regression
157. ICLR 2026LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning
158. ICLR 2026LeRobot: An Open-Source Library for End-to-End Robot Learning
159. ICLR 2026Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
160. ICLR 2026Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference
161. ICLR 2026Lifelong Learning with Behavior Consolidation for Vehicle Routing
162. ICLR 2026LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
163. ICLR 2026Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards
164. ICLR 2026Lossless Vocabulary Reduction for Auto-Regressive Language Models
165. ICLR 2026MambaSL: Exploring Single-Layer Mamba for Time Series Classification
166. ICLR 2026Matching without Group Barrier for Heterogeneous Treatment Effect Estimation
167. ICLR 2026MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
168. ICLR 2026MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
169. ICLR 2026MeSH: Memory-as-State-Highways for Recursive Transformers
170. ICLR 2026MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
171. ICLR 2026MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion
172. ICLR 2026Minimax-Optimal Aggregation for Density Ratio Estimation
173. ICLR 2026MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
174. ICLR 2026MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE
175. ICLR 2026MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale
176. ICLR 2026Multifidelity Simulation-based Inference for Computationally Expensive Simulators
177. ICLR 2026Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster
178. ICLR 2026NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction
179. ICLR 2026Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs
180. ICLR 2026Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
181. ICLR 2026Neural Graduated Assignment for Maximum Common Edge Subgraphs
182. ICLR 2026Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport
183. ICLR 2026Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
184. ICLR 2026Neural Posterior Estimation with Latent Basis Expansions
185. ICLR 2026Non-Collaborative User Simulators for Tool Agents
186. ICLR 2026Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs
187. ICLR 2026NRGPT: An Energy-based Alternative for GPT
188. ICLR 2026Null-Space Filtering for Data-free Continual Model Merging: Preserving Transparency, Promoting Fidelity
189. ICLR 2026OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
190. ICLR 2026OccDriver: Future Occupancy Guided Dual-branch Trajectory Planner in Autonomous Driving
191. ICLR 2026Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX
192. ICLR 2026OFMU: OPTIMIZATION-DRIVEN FRAMEWORK FOR MACHINE UNLEARNING
193. ICLR 2026OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
194. ICLR 2026On Coreset for LASSO Regression Problem with Sensitivity Sampling
195. ICLR 2026On Smoothness Bounds for Non-Clairvoyant Scheduling with Predictions
196. ICLR 2026On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
197. ICLR 2026On the Expressive Power of GNNs for Boolean Satisfiability
198. ICLR 2026On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment
199. ICLR 2026One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
200. ICLR 2026OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography

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.