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

940 papers, page 7 of 19

301. NeurIPS 2026Enabling Denoising Score Matching Type Training for Manifold Diffusion Model via Momentum and Splitting
302. NeurIPS 2026EngramState: Loadable Tool Priors for Efficient Function Calling
303. NeurIPS 2026Entropy Distribution as a Fingerprint for Hallucinations in Generative Models
304. NeurIPS 2026Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
305. NeurIPS 2026Epigenomics-Guided Flow Matching for 3D Genome Super-Resolution
306. NeurIPS 2026Error-Guided Bellman Calibration for Semi-Offline Value Estimation
307. NeurIPS 2026Euler-Mamba: Learning Resolution-Invariant State Evolution on Polar Manifolds for Asymmetric Pansharpening
308. NeurIPS 2026Evaluating Neural Data Tokenizers: A Framework for Assessing Learned Representations of Spiking Activity
309. NeurIPS 2026Evaluating Synthetic ECG Pretraining: When Can Patient-Free Simulators Substitute for Real ECG Data?
310. NeurIPS 2026EVALUATION CARDS: An Interpretive Layer for AI Evaluation Reporting
311. NeurIPS 2026Even More Guarantees for Variational Inference in the Presence of Symmetries
312. NeurIPS 2026Evidential Semantic Uncertainty Decomposition for Large Language Models
313. NeurIPS 2026Exact Gaussian Moment Matching for Residual Networks: a Second-Order Method
314. NeurIPS 2026Exact Posterior Score Estimation for Solving Linear Inverse Problems
315. NeurIPS 2026Exactness Matters for Physical Rule Enforcement
316. NeurIPS 2026Explanations over Graphs: An Agent Architecture for IT Enterprise Diagnostic Tasks
317. NeurIPS 2026Exploring the Epipolar Consistency for Light Field Deraining
318. NeurIPS 2026Exponential Map Models as an Interpretable Framework for Generating Neural Spatial Representations
319. NeurIPS 2026Fail-Closed Alignment for Large Language Models
320. NeurIPS 2026Fast Algorithms for the Label Propagation Operator on Signed Graphs
321. NeurIPS 2026Fast Alignment of Embeddings: Computational Guarantees for Anisotropic Procrustes-Wasserstein
322. NeurIPS 2026Fast Gauss-Newton for Multiclass Cross-Entropy
323. NeurIPS 2026Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
324. NeurIPS 2026Faster Rates For Federated Variational Inequalities
325. NeurIPS 2026FEAD: Fine-Grained Epipolar Attention Diffusion for Large-Disparity Light Field Spatial Super-Resolution
326. NeurIPS 2026FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation
327. NeurIPS 2026Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation
328. NeurIPS 2026FedPeel: Peeling Stabilized Layers for Robust Heterogeneous Federated Learning
329. NeurIPS 2026Feedforward Novel View Synthesis for Heterogeneous Cameras
330. NeurIPS 2026FENet: Functional Embedding Neural Network for Change-Point Detection in Functional Time Series
331. NeurIPS 2026fev-bench: A Realistic Benchmark for Time Series Forecasting
332. NeurIPS 2026FFTSparse: Relative-Position Correlation Guided Sparse Attention for Long-Context Language Models
333. NeurIPS 2026FiedlerPrune: Connectivity-Preserving Cross-Layer Pruning for Large Language Models
334. NeurIPS 2026FineRMoE: Dimension Expansion for Finer-Grained Expert with an Upcycling Approach
335. NeurIPS 2026FinReasoning: A Hierarchical Benchmark for Reliable Financial Research Reporting
336. NeurIPS 2026FlashPlanner: Real-Time Goal-Conditioned Flow-Matching Planning for Autonomous Driving with Online RL Fine-Tuning
337. NeurIPS 2026FlashSSM-3D: A Distilled State Space Model for Lightning-Fast Dense 3D Reconstruction
338. NeurIPS 2026Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems
339. NeurIPS 2026Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics
340. NeurIPS 2026Flow-based Spectral Kernel Learning for Nonstationary Attention
341. NeurIPS 2026Flow-Transformed Implicit Processes for Function-Space Variational Inference
342. NeurIPS 2026FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
343. NeurIPS 2026Flux: Online, Fine-Grained Data Scheduling for Training Machine Learning Interatomic Potentials
344. NeurIPS 2026Focus on Where You Aggregate: Restricted SAM for Non-IID Federated Learning
345. NeurIPS 2026Forward Shapley Scoring for Non-Myopic Active Feature Acquisition
346. NeurIPS 2026Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
347. NeurIPS 2026FRESCO: A Novel Consistency Control for Asynchronous Pipeline Parallel Training
348. NeurIPS 2026From Approximation to Computation: Universal Power of Deep Narrow Networks at Constant Width
349. NeurIPS 2026From Heartbeat to Cardiochoreography: A Mechanics Foundation Model for Individualized 4D Cardiac Motion Generation Conditioned on Electrophysiology
350. NeurIPS 2026From Local Skills to Long-Horizon Tasks: Progressive Skill Exploration for LLM Web Agents

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.