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 25 of 29

1201. NeurIPS 2025Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
1202. NeurIPS 2025Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models
1203. NeurIPS 2025NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes
1204. NeurIPS 2025NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
1205. NeurIPS 2025Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
1206. NeurIPS 2025OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
1207. NeurIPS 2025Offline Actor-Critic for Average Reward MDPs
1208. NeurIPS 2025On Evaluating Policies for Robust POMDPs
1209. NeurIPS 2025On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
1210. NeurIPS 2025On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
1211. NeurIPS 2025On the Robustness of Transformers against Context Hijacking for Linear Classification
1212. NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
1213. NeurIPS 2025On topological descriptors for graph products
1214. NeurIPS 2025One Filters All: A Generalist Filter For State Estimation
1215. NeurIPS 2025OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
1216. NeurIPS 2025OpenBox: Annotate Any Bounding Boxes in 3D
1217. NeurIPS 2025OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
1218. NeurIPS 2025Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
1219. NeurIPS 2025Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
1220. NeurIPS 2025Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
1221. NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
1222. NeurIPS 2025Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
1223. NeurIPS 2025Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
1224. NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
1225. NeurIPS 2025Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
1226. NeurIPS 2025Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
1227. NeurIPS 2025Parallel Scaling Law for Language Models
1228. NeurIPS 2025Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
1229. NeurIPS 2025Parsimonious Predictions for Strategyproof Scheduling
1230. NeurIPS 2025PASS: Path-selective State Space Model for Event-based Recognition
1231. NeurIPS 2025PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions
1232. NeurIPS 2025Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
1233. NeurIPS 2025PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
1234. NeurIPS 2025PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
1235. NeurIPS 2025PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
1236. NeurIPS 2025Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
1237. NeurIPS 2025PointTruss: K-Truss for Point Cloud Registration
1238. NeurIPS 2025Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
1239. NeurIPS 2025Practical Kernel Selection for Kernel-based Conditional Independence Test
1240. NeurIPS 2025Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
1241. NeurIPS 2025Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
1242. NeurIPS 2025Principled Model Routing for Unknown Mixtures of Source Domains
1243. NeurIPS 2025Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
1244. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
1245. NeurIPS 2025Progress Reward Model for Reinforcement Learning via Large Language Models
1246. NeurIPS 2025Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
1247. NeurIPS 2025Prompt Tuning Transformers for Data Memorization
1248. NeurIPS 2025PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
1249. NeurIPS 2025PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
1250. NeurIPS 2025Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability

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.