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

1,405 papers, page 27 of 29

1301. NeurIPS 2025Semantic-guided Diverse Decoding for Large Language Model
1302. NeurIPS 2025SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
1303. NeurIPS 2025ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
1304. NeurIPS 2025Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors
1305. NeurIPS 2025Sharp Gaussian approximations for Decentralized Federated Learning
1306. NeurIPS 2025Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
1307. NeurIPS 2025Simple Distillation for One-Step Diffusion Models
1308. NeurIPS 2025SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
1309. NeurIPS 2025Simulation-Based Inference for Adaptive Experiments
1310. NeurIPS 2025Sinusoidal Initialization, Time for a New Start
1311. NeurIPS 2025Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
1312. NeurIPS 2025Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations
1313. NeurIPS 2025SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
1314. NeurIPS 2025Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
1315. NeurIPS 2025SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
1316. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
1317. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
1318. NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
1319. NeurIPS 2025Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
1320. NeurIPS 2025SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs
1321. NeurIPS 2025Spectral Learning for Infinite-Horizon Average-Reward POMDPs
1322. NeurIPS 2025SpectraLDS: Provable Distillation for Linear Dynamical Systems
1323. NeurIPS 2025SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
1324. NeurIPS 2025Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
1325. NeurIPS 2025ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation
1326. NeurIPS 2025Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
1327. NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
1328. NeurIPS 2025STAR: A Benchmark for Astronomical Star Fields Super-Resolution
1329. NeurIPS 2025StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
1330. NeurIPS 2025State Entropy Regularization for Robust Reinforcement Learning
1331. NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
1332. NeurIPS 2025State-Covering Trajectory Stitching for Diffusion Planners
1333. NeurIPS 2025Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
1334. NeurIPS 2025Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
1335. NeurIPS 2025Statistical Inference for Gradient Boosting Regression
1336. NeurIPS 2025Statistical inference for Linear Stochastic Approximation with Markovian Noise
1337. NeurIPS 2025Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
1338. NeurIPS 2025Stepsize anything: A unified learning rate schedule for budgeted-iteration training
1339. NeurIPS 2025STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
1340. NeurIPS 2025STree: Speculative Tree Decoding for Hybrid State Space Models
1341. NeurIPS 2025Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
1342. NeurIPS 2025STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
1343. NeurIPS 2025SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
1344. NeurIPS 2025Switchable Token-Specific Codebook Quantization For Face Image Compression
1345. NeurIPS 2025SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
1346. NeurIPS 2025SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
1347. NeurIPS 2025T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
1348. NeurIPS 2025T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
1349. NeurIPS 2025Table as a Modality for Large Language Models
1350. NeurIPS 2025Tail-Optimized Caching for LLM Inference

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.