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

275 papers, page 5 of 6

201. ICML 2025QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal
202. ICML 2025Quadratic Upper Bound for Boosting Robustness
203. ICML 2025Quantum Speedup for Hypergraph Sparsification
204. ICML 2025Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
205. ICML 2025Rectifying Conformity Scores for Better Conditional Coverage
206. ICML 2025Reinforced Lifelong Editing for Language Models
207. ICML 2025RelGNN: Composite Message Passing for Relational Deep Learning
208. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
209. ICML 2025ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
210. ICML 2025Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective
211. ICML 2025Robust Autonomy Emerges from Self-Play
212. ICML 2025Robust Spatio-Temporal Centralized Interaction for OOD Learning
213. ICML 2025Runtime Analysis of Evolutionary NAS for Multiclass Classification
214. ICML 2025SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
215. ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
216. ICML 2025Scalable First-order Method for Certifying Optimal k-Sparse GLMs
217. ICML 2025Scalable Sobolev IPM for Probability Measures on a Graph
218. ICML 2025Secant Line Search for Frank-Wolfe Algorithms
219. ICML 2025Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
220. ICML 2025Selective Response Strategies for GenAI
221. ICML 2025Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
222. ICML 2025Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts
223. ICML 2025Signed Laplacians for Constrained Graph Clustering
224. ICML 2025Simple Path Structural Encoding for Graph Transformers
225. ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
226. ICML 2025SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
227. ICML 2025Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
228. ICML 2025SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
229. ICML 2025SlimLLM: Accurate Structured Pruning for Large Language Models
230. ICML 2025Softmax is not Enough (for Sharp Size Generalisation)
231. ICML 2025Sparse-pivot: Dynamic correlation clustering for node insertions
232. ICML 2025SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
233. ICML 2025Speeding up Policy Simulation in Supply Chain RL
234. ICML 2025Statistical Test for Feature Selection Pipelines by Selective Inference
235. ICML 2025Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
236. ICML 2025Steerable Transformers for Volumetric Data
237. ICML 2025Stochastic Encodings for Active Feature Acquisition
238. ICML 2025Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
239. ICML 2025Structure-informed Risk Minimization for Robust Ensemble Learning
240. ICML 2025SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
241. ICML 2025TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
242. ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
243. ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
244. ICML 2025The Case for Learned Provenance-based System Behavior Baseline
245. ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
246. ICML 2025The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
247. ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
248. ICML 2025The Polynomial Stein Discrepancy for Assessing Moment Convergence
249. ICML 2025The Role of Sparsity for Length Generalization in LLMs
250. ICML 2025The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training

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.