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 27 of 43

1301. NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
1302. NeurIPS 2025Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
1303. NeurIPS 2025Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
1304. NeurIPS 2025Parallel Scaling Law for Language Models
1305. NeurIPS 2025Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
1306. NeurIPS 2025Parsimonious Predictions for Strategyproof Scheduling
1307. NeurIPS 2025PASS: Path-selective State Space Model for Event-based Recognition
1308. NeurIPS 2025PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions
1309. NeurIPS 2025Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
1310. NeurIPS 2025PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
1311. NeurIPS 2025PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
1312. NeurIPS 2025PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
1313. NeurIPS 2025Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
1314. NeurIPS 2025PointTruss: K-Truss for Point Cloud Registration
1315. NeurIPS 2025Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
1316. NeurIPS 2025Practical Kernel Selection for Kernel-based Conditional Independence Test
1317. NeurIPS 2025Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
1318. NeurIPS 2025Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
1319. NeurIPS 2025Principled Model Routing for Unknown Mixtures of Source Domains
1320. NeurIPS 2025Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
1321. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
1322. NeurIPS 2025Progress Reward Model for Reinforcement Learning via Large Language Models
1323. NeurIPS 2025Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
1324. NeurIPS 2025Prompt Tuning Transformers for Data Memorization
1325. NeurIPS 2025PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
1326. NeurIPS 2025PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
1327. NeurIPS 2025Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
1328. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
1329. NeurIPS 2025Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
1330. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
1331. NeurIPS 2025QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
1332. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
1333. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
1334. NeurIPS 2025RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
1335. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
1336. NeurIPS 2025RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
1337. NeurIPS 2025Rectified CFG++ for Flow Based Models
1338. NeurIPS 2025REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
1339. NeurIPS 2025Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
1340. NeurIPS 2025REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
1341. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
1342. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
1343. NeurIPS 2025RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
1344. NeurIPS 2025ReSim: Reliable World Simulation for Autonomous Driving
1345. NeurIPS 2025Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
1346. NeurIPS 2025Rethinking Losses for Diffusion Bridge Samplers
1347. NeurIPS 2025Rethinking Tokenized Graph Transformers for Node Classification
1348. NeurIPS 2025Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
1349. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
1350. NeurIPS 2025Revisiting Orbital Minimization Method for Neural Operator Decomposition

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.