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 26 of 29

1251. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
1252. NeurIPS 2025Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
1253. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
1254. NeurIPS 2025QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
1255. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
1256. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
1257. NeurIPS 2025RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
1258. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
1259. NeurIPS 2025RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
1260. NeurIPS 2025Rectified CFG++ for Flow Based Models
1261. NeurIPS 2025REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
1262. NeurIPS 2025Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
1263. NeurIPS 2025REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
1264. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
1265. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
1266. NeurIPS 2025RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
1267. NeurIPS 2025ReSim: Reliable World Simulation for Autonomous Driving
1268. NeurIPS 2025Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
1269. NeurIPS 2025Rethinking Losses for Diffusion Bridge Samplers
1270. NeurIPS 2025Rethinking Tokenized Graph Transformers for Node Classification
1271. NeurIPS 2025Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
1272. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
1273. NeurIPS 2025Revisiting Orbital Minimization Method for Neural Operator Decomposition
1274. NeurIPS 2025Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening
1275. NeurIPS 2025RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
1276. NeurIPS 2025Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
1277. NeurIPS 2025Risk Bounds For Distributional Regression
1278. NeurIPS 2025RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
1279. NeurIPS 2025RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation
1280. NeurIPS 2025RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
1281. NeurIPS 2025RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
1282. NeurIPS 2025RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
1283. NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
1284. NeurIPS 2025S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
1285. NeurIPS 2025SALS: Sparse Attention in Latent Space for KV Cache Compression
1286. NeurIPS 2025SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis
1287. NeurIPS 2025Sampled Estimators For Softmax Must Be Biased
1288. NeurIPS 2025SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
1289. NeurIPS 2025Scalable Best-of-N Selection for Large Language Models via Self-Certainty
1290. NeurIPS 2025Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
1291. NeurIPS 2025Scalable Policy-Based RL Algorithms for POMDPs
1292. NeurIPS 2025Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
1293. NeurIPS 2025Scaling Laws for Optimal Data Mixtures
1294. NeurIPS 2025SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
1295. NeurIPS 2025SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
1296. NeurIPS 2025See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction
1297. NeurIPS 2025See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
1298. NeurIPS 2025SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
1299. NeurIPS 2025Selective Learning for Deep Time Series Forecasting
1300. NeurIPS 2025Self-diffusion for Solving Inverse Problems

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.