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

2,199 papers, page 24 of 44

1151. ICML 2026PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training
1152. ICML 2026PRISM: Perception Reasoning Interleaved for Sequential Decision Making.
1153. ICML 2026Probabilistically-routed Bayesian Additive Spanning Trees for Learning on Constrained Domains
1154. ICML 2026Projection-Free Algorithms for Minimax Problems
1155. ICML 2026Proteus: Lookup-Free Trellis-Coded Quantization by Lattice-Breaking Compute Codes for 2-Bit LLMs
1156. ICML 2026Provable Bounds for the Learnability of Sample-Compressible Families from Noisy Samples
1157. ICML 2026Provable Training Data Identification for Large Language Models
1158. ICML 2026Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
1159. ICML 2026Pseudo-Mallows for Efficient Probabilistic Preference Learning
1160. ICML 2026QiMeng-PerceptOS: Semantic-Aware Kernel Optimization for OS-Intensive Workloads via Hardware-Software Alignment
1161. ICML 2026Quantifying the noise sensitivity of the Wasserstein metric for images
1162. ICML 2026Quantum Algorithms for Triangle Cut Sparsification
1163. ICML 2026Quantum Robust Inner Minimization for Reinforcement Learning with Quadratic Speed-Up in Query Complexity
1164. ICML 2026QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses
1165. ICML 2026RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
1166. ICML 2026Ramba: Selective State-Space Models for Relational Deep Learning
1167. ICML 2026Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality
1168. ICML 2026Representation Learning for Equivariant Inference with Guarantees
1169. ICML 2026RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
1170. ICML 2026Rethinking Calibration for Early-Exit Neural Networks
1171. ICML 2026Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
1172. ICML 2026Revisiting Distribution Correction Estimation for Offline Imitation Learning with Suboptimal Dataset
1173. ICML 2026Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
1174. ICML 2026Riemannian stochastic optimization for sufficient dimension reduction
1175. ICML 2026Risk-Bounded Distribution Reconstruction: Stable Statistic Calibration for Long-Tailed Recognition
1176. ICML 2026RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
1177. ICML 2026Rooted Absorbed Prefix Trajectory Balance with Submodular Replay for GFlowNet Training
1178. ICML 2026Rotary Position Encodings for Graphs
1179. ICML 2026RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference
1180. ICML 2026SafeLab: An Interactive High-Fidelity Benchmark for Embodied Safety in Scientific Robotics
1181. ICML 2026SAGE-NAS: Synergizing LLM-Based Semantic Agent with Graph-Based Evaluator for Neural Architecture Search
1182. ICML 2026Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
1183. ICML 2026SC$^{2}$-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments
1184. ICML 2026ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving
1185. ICML 2026SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
1186. ICML 2026SD-MoE: Spectral Decomposition for Effective Expert Specialization
1187. ICML 2026Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
1188. ICML 2026SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
1189. ICML 2026Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
1190. ICML 2026Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds
1191. ICML 2026Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables
1192. ICML 2026Shortcut-Resistant CAM Distillation for Long-Tailed Recognition
1193. ICML 2026Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control
1194. ICML 2026Signature-Informed Transformer for Asset Allocation
1195. ICML 2026SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning
1196. ICML 2026SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
1197. ICML 2026Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection
1198. ICML 2026SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
1199. ICML 2026SLAE: Strictly Local All-atom Environment for Protein Representation
1200. ICML 2026SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks

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.