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

410 papers, page 4 of 9

151. NeurIPS 2024Expert-level protocol translation for self-driving labs
152. NeurIPS 2024Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
153. NeurIPS 2024FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
154. NeurIPS 2024Fast Channel Simulation via Error-Correcting Codes
155. NeurIPS 2024Fast Rates for Bandit PAC Multiclass Classification
156. NeurIPS 2024Fast samplers for Inverse Problems in Iterative Refinement models
157. NeurIPS 2024FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
158. NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
159. NeurIPS 2024FinBen: A Holistic Financial Benchmark for Large Language Models
160. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
161. NeurIPS 2024Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language
162. NeurIPS 2024FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
163. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
164. NeurIPS 2024Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
165. NeurIPS 2024FUSE: Fast Unified Simulation and Estimation for PDEs
166. NeurIPS 2024GACL: Exemplar-Free Generalized Analytic Continual Learning
167. NeurIPS 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
168. NeurIPS 2024GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation
169. NeurIPS 2024Gaussian Process Bandits for Top-k Recommendations
170. NeurIPS 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
171. NeurIPS 2024Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
172. NeurIPS 2024Harnessing Multiple Correlated Networks for Exact Community Recovery
173. NeurIPS 2024Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
174. NeurIPS 2024High-probability complexity bounds for stochastic non-convex minimax optimization
175. NeurIPS 2024HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
176. NeurIPS 2024HYDRA: Model Factorization Framework for Black-Box LLM Personalization
177. NeurIPS 2024HydraViT: Stacking Heads for a Scalable ViT
178. NeurIPS 2024Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
179. NeurIPS 2024Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
180. NeurIPS 2024Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
181. NeurIPS 2024Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
182. NeurIPS 2024Improved Algorithms for Contextual Dynamic Pricing
183. NeurIPS 2024Improved Analysis for Bandit Learning in Matching Markets
184. NeurIPS 2024Improved Particle Approximation Error for Mean Field Neural Networks
185. NeurIPS 2024Improved Sample Complexity Bounds for Diffusion Model Training
186. NeurIPS 2024Improved Sample Complexity for Multiclass PAC Learning
187. NeurIPS 2024Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
188. NeurIPS 2024Initializing Services in Interactive ML Systems for Diverse Users
189. NeurIPS 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
190. NeurIPS 2024Interpretable Generalized Additive Models for Datasets with Missing Values
191. NeurIPS 2024Interpretable Mesomorphic Networks for Tabular Data
192. NeurIPS 2024Interventionally Consistent Surrogates for Complex Simulation Models
193. NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
194. NeurIPS 2024Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
195. NeurIPS 2024IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
196. NeurIPS 2024Is Score Matching Suitable for Estimating Point Processes?
197. NeurIPS 2024Is Your HD Map Constructor Reliable under Sensor Corruptions?
198. NeurIPS 2024Is Your LiDAR Placement Optimized for 3D Scene Understanding?
199. NeurIPS 2024Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
200. NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

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.