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 26 of 43

1251. NeurIPS 2025Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
1252. NeurIPS 2025Multilevel neural simulation-based inference
1253. NeurIPS 2025MultiScale Contextual Bandits for Long Term Objectives
1254. NeurIPS 2025MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
1255. NeurIPS 2025MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference
1256. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
1257. NeurIPS 2025NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
1258. NeurIPS 2025Natural Gradient VI: Guarantees for Non-Conjugate Models
1259. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
1260. NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
1261. NeurIPS 2025Near-Optimal Sample Complexity for Online Constrained MDPs
1262. NeurIPS 2025NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
1263. NeurIPS 2025Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
1264. NeurIPS 2025NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs
1265. NeurIPS 2025Network two-sample test for block models
1266. NeurIPS 2025Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
1267. NeurIPS 2025Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
1268. NeurIPS 2025Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
1269. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
1270. NeurIPS 2025Neural Green’s Functions
1271. NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
1272. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
1273. NeurIPS 2025NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting
1274. NeurIPS 2025Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls
1275. NeurIPS 2025Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
1276. NeurIPS 2025Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
1277. NeurIPS 2025Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
1278. NeurIPS 2025Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
1279. NeurIPS 2025Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models
1280. NeurIPS 2025NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes
1281. NeurIPS 2025NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
1282. NeurIPS 2025Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
1283. NeurIPS 2025OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
1284. NeurIPS 2025Offline Actor-Critic for Average Reward MDPs
1285. NeurIPS 2025On Evaluating Policies for Robust POMDPs
1286. NeurIPS 2025On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
1287. NeurIPS 2025On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
1288. NeurIPS 2025On the Robustness of Transformers against Context Hijacking for Linear Classification
1289. NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
1290. NeurIPS 2025On topological descriptors for graph products
1291. NeurIPS 2025One Filters All: A Generalist Filter For State Estimation
1292. NeurIPS 2025OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
1293. NeurIPS 2025OpenBox: Annotate Any Bounding Boxes in 3D
1294. NeurIPS 2025OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
1295. NeurIPS 2025Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
1296. NeurIPS 2025Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
1297. NeurIPS 2025Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
1298. NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
1299. NeurIPS 2025Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
1300. NeurIPS 2025Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics

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.