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

275 papers, page 4 of 6

151. ICML 2025LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations
152. ICML 2025Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge
153. ICML 2025LineFlow: A Framework to Learn Active Control of Production Lines
154. ICML 2025Logits are All We Need to Adapt Closed Models
155. ICML 2025LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
156. ICML 2025MARS: Unleashing the Power of Variance Reduction for Training Large Models
157. ICML 2025Masked Autoencoders Are Effective Tokenizers for Diffusion Models
158. ICML 2025MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
159. ICML 2025MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
160. ICML 2025Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
161. ICML 2025Minimum Width for Universal Approximation using Squashable Activation Functions
162. ICML 2025Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
163. ICML 2025Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
164. ICML 2025MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
165. ICML 2025N2GON: Neural Networks for Graph-of-Net with Position Awareness
166. ICML 2025Navigating Conflicting Views: Harnessing Trust for Learning
167. ICML 2025Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks
168. ICML 2025Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback
169. ICML 2025Nearly Optimal Sample Complexity for Learning with Label Proportions
170. ICML 2025NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
171. ICML 2025Nonparametric Teaching for Graph Property Learners
172. ICML 2025On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
173. ICML 2025One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
174. ICML 2025OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
175. ICML 2025Optimal Algorithm for Max-Min Fair Bandit
176. ICML 2025Optimal Information Retention for Time-Series Explanations
177. ICML 2025OrcaLoca: An LLM Agent Framework for Software Issue Localization
178. ICML 2025OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
179. ICML 2025Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
180. ICML 2025PAC-Bayes Analysis for Recalibration in Classification
181. ICML 2025Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes
182. ICML 2025Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models
183. ICML 2025ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
184. ICML 2025Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
185. ICML 2025Patch-wise Structural Loss for Time Series Forecasting
186. ICML 2025Permutation Equivariant Neural Networks for Symmetric Tensors
187. ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
188. ICML 2025Phase transitions for the existence of unregularized M-estimators in single index models
189. ICML 2025Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems
190. ICML 2025Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
191. ICML 2025Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
192. ICML 2025Position: Constants are Critical in Regret Bounds for Reinforcement Learning
193. ICML 2025Position: It Is Time We Test Neural Computation In Vitro
194. ICML 2025Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable
195. ICML 2025Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States
196. ICML 2025Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents
197. ICML 2025Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
198. ICML 2025Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
199. ICML 2025Probabilistic Factorial Experimental Design for Combinatorial Interventions
200. ICML 2025Pruning for GNNs: Lower Complexity with Comparable Expressiveness

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.