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

363 papers, page 5 of 8

201. ICML 2026MA$^3$S: Model-Agnostic Active Annotation Strategy for Crowdsourcing
202. ICML 2026MapUQ: Map with Uncertainty Quantification for Robust BEV Vectorized Construction
203. ICML 2026MaxSAT-Based Compression for Tsetlin Machines
204. ICML 2026MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
205. ICML 2026Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
206. ICML 2026MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers
207. ICML 2026MidSteer: Optimal Affine Framework for Steering Generative Models
208. ICML 2026MineDraft: A Framework for Batch Parallel Speculative Decoding
209. ICML 2026Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching
210. ICML 2026Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming
211. ICML 2026Minimum Distance Summaries for Robust Neural Posterior Estimation
212. ICML 2026Mixing Configurations for Downstream Prediction
213. ICML 2026Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
214. ICML 2026MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
215. ICML 2026MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-regularized Optimization
216. ICML 2026MuLoCo: Muon is a Practical Inner Optimizer for DiLoCo
217. ICML 2026NAACA: Training-Free NeuroAuditory Attentive Cognitive Architecture with Oscillatory Working Memory for Salience-Driven Attention Gating
218. ICML 2026Names Don’t Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
219. ICML 2026nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding
220. ICML 2026Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
221. ICML 2026Neural Modular Physics for Elastic Simulation
222. ICML 2026NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
223. ICML 2026Neuro-Symbolic AI for Analytical Solutions of Differential Equations
224. ICML 2026NeurOCNN: A Neural-Operator-Based Model for Physiological Time Series
225. ICML 2026NeuronCtrl: Geometry-Aware Safe Closed-Loop Generative Control for Neuronal Microenvironment Dynamics
226. ICML 2026New Algorithms for Fully-Dynamic k-center with Outliers
227. ICML 2026New Bounds for Kernel Sums via Fast Spherical Embeddings
228. ICML 2026Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
229. ICML 2026Olmix: A Framework for Data Mixing Throughout LM Development
230. ICML 2026On Revisiting Entropy for Identifying Mislabeled Images
231. ICML 2026On Testing Conditional Mean Independence for Manifold-Valued Data
232. ICML 2026On the Power of Source Screening for Learning Shared Feature Extractors
233. ICML 2026On the Theory of Continual Learning with Gradient Descent for Neural Networks
234. ICML 2026On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
235. ICML 2026On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
236. ICML 2026One LR Doesn’t Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs
237. ICML 2026One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
238. ICML 2026Online Learning and Inference for Cox Proportional Hazards Model Using Renewable Sieve Estimation
239. ICML 2026Optimal Pricing for Data-Augmented AutoML Marketplaces
240. ICML 2026Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation
241. ICML 2026Optimized Deferral for Imbalanced Settings
242. ICML 2026Optimizing Network Simulation: Enhancing Performance Prediction Accuracy via Neural Architecture Search
243. ICML 2026OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization
244. ICML 2026Parametrized Power-Iteration Clustering for Directed Graphs
245. ICML 2026Particle Flow for Learning from Label Proportions
246. ICML 2026Partitioning for Intrinsic Model Inversion Resistance in Collaborative Inference
247. ICML 2026Persona-Pruner: Sculpting Lightweight Models for Role-Playing
248. ICML 2026PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-Scale Physics Simulations
249. ICML 2026Platonic Transformers: A Solid Choice For Equivariance
250. ICML 2026Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept 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.