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

542 papers, page 8 of 11

351. NeurIPS 2025One Filters All: A Generalist Filter For State Estimation
352. NeurIPS 2025OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
353. NeurIPS 2025OpenBox: Annotate Any Bounding Boxes in 3D
354. NeurIPS 2025OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
355. NeurIPS 2025Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
356. NeurIPS 2025Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
357. NeurIPS 2025Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
358. NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
359. NeurIPS 2025Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
360. NeurIPS 2025Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
361. NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
362. NeurIPS 2025Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
363. NeurIPS 2025Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
364. NeurIPS 2025Parallel Scaling Law for Language Models
365. NeurIPS 2025Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
366. NeurIPS 2025Parsimonious Predictions for Strategyproof Scheduling
367. NeurIPS 2025PASS: Path-selective State Space Model for Event-based Recognition
368. NeurIPS 2025PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions
369. NeurIPS 2025Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
370. NeurIPS 2025PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
371. NeurIPS 2025PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
372. NeurIPS 2025PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
373. NeurIPS 2025Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
374. NeurIPS 2025PointTruss: K-Truss for Point Cloud Registration
375. NeurIPS 2025Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
376. NeurIPS 2025Practical Kernel Selection for Kernel-based Conditional Independence Test
377. NeurIPS 2025Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
378. NeurIPS 2025Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
379. NeurIPS 2025Principled Model Routing for Unknown Mixtures of Source Domains
380. NeurIPS 2025Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
381. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
382. NeurIPS 2025Progress Reward Model for Reinforcement Learning via Large Language Models
383. NeurIPS 2025Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
384. NeurIPS 2025Prompt Tuning Transformers for Data Memorization
385. NeurIPS 2025PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
386. NeurIPS 2025PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
387. NeurIPS 2025Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
388. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
389. NeurIPS 2025Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
390. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
391. NeurIPS 2025QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
392. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
393. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
394. NeurIPS 2025RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
395. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
396. NeurIPS 2025RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
397. NeurIPS 2025Rectified CFG++ for Flow Based Models
398. NeurIPS 2025REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
399. NeurIPS 2025Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
400. NeurIPS 2025REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning

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.