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 28 of 43

1351. NeurIPS 2025Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening
1352. NeurIPS 2025RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
1353. NeurIPS 2025Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
1354. NeurIPS 2025Risk Bounds For Distributional Regression
1355. NeurIPS 2025RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
1356. NeurIPS 2025RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation
1357. NeurIPS 2025RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
1358. NeurIPS 2025RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
1359. NeurIPS 2025RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
1360. NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
1361. NeurIPS 2025S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
1362. NeurIPS 2025SALS: Sparse Attention in Latent Space for KV Cache Compression
1363. NeurIPS 2025SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis
1364. NeurIPS 2025Sampled Estimators For Softmax Must Be Biased
1365. NeurIPS 2025SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
1366. NeurIPS 2025Scalable Best-of-N Selection for Large Language Models via Self-Certainty
1367. NeurIPS 2025Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
1368. NeurIPS 2025Scalable Policy-Based RL Algorithms for POMDPs
1369. NeurIPS 2025Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
1370. NeurIPS 2025Scaling Laws for Optimal Data Mixtures
1371. NeurIPS 2025SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
1372. NeurIPS 2025SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
1373. NeurIPS 2025See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction
1374. NeurIPS 2025See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
1375. NeurIPS 2025SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
1376. NeurIPS 2025Selective Learning for Deep Time Series Forecasting
1377. NeurIPS 2025Self-diffusion for Solving Inverse Problems
1378. NeurIPS 2025Semantic-guided Diverse Decoding for Large Language Model
1379. NeurIPS 2025SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
1380. NeurIPS 2025ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
1381. NeurIPS 2025Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors
1382. NeurIPS 2025Sharp Gaussian approximations for Decentralized Federated Learning
1383. NeurIPS 2025Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
1384. NeurIPS 2025Simple Distillation for One-Step Diffusion Models
1385. NeurIPS 2025SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
1386. NeurIPS 2025Simulation-Based Inference for Adaptive Experiments
1387. NeurIPS 2025Sinusoidal Initialization, Time for a New Start
1388. NeurIPS 2025Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
1389. NeurIPS 2025Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations
1390. NeurIPS 2025SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
1391. NeurIPS 2025Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
1392. NeurIPS 2025SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
1393. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
1394. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
1395. NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
1396. NeurIPS 2025Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
1397. NeurIPS 2025SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs
1398. NeurIPS 2025Spectral Learning for Infinite-Horizon Average-Reward POMDPs
1399. NeurIPS 2025SpectraLDS: Provable Distillation for Linear Dynamical Systems
1400. NeurIPS 2025SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries

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.