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

218 papers, page 4 of 5

151. ICML 2023Progressive Purification for Instance-Dependent Partial Label Learning
152. ICML 2023Projected Tensor Power Method for Hypergraph Community Recovery
153. ICML 2023Prompting Large Language Model for Machine Translation: A Case Study
154. ICML 2023Proper Losses for Discrete Generative Models
155. ICML 2023Proper Scoring Rules for Survival Analysis
156. ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
157. ICML 2023Provable Benefit of Mixup for Finding Optimal Decision Boundaries
158. ICML 2023Provable Data Subset Selection For Efficient Neural Networks Training
159. ICML 2023PWSHAP: A Path-Wise Explanation Model for Targeted Variables
160. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
161. ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
162. ICML 2023Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
163. ICML 2023Randomized Schur Complement Views for Graph Contrastive Learning
164. ICML 2023Reconstructive Neuron Pruning for Backdoor Defense
165. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
166. ICML 2023Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
167. ICML 2023Refined Regret for Adversarial MDPs with Linear Function Approximation
168. ICML 2023Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents
169. ICML 2023Regret-Minimizing Double Oracle for Extensive-Form Games
170. ICML 2023Reprogramming Pretrained Language Models for Antibody Sequence Infilling
171. ICML 2023Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
172. ICML 2023Resurrecting Recurrent Neural Networks for Long Sequences
173. ICML 2023Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization
174. ICML 2023Revisiting Bellman Errors for Offline Model Selection
175. ICML 2023Revisiting Simple Regret: Fast Rates for Returning a Good Arm
176. ICML 2023RGE: A Repulsive Graph Rectification for Node Classification via Influence
177. ICML 2023Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
178. ICML 2023Scaling Laws for Reward Model Overoptimization
179. ICML 2023Scaling of Class-wise Training Losses for Post-hoc Calibration
180. ICML 2023SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
181. ICML 2023Sequential Predictive Conformal Inference for Time Series
182. ICML 2023Sequential Underspecified Instrument Selection for Cause-Effect Estimation
183. ICML 2023Set-membership Belief State-based Reinforcement Learning for POMDPs
184. ICML 2023Shapley Based Residual Decomposition for Instance Analysis
185. ICML 2023Sharper Bounds for $\ell_p$ Sensitivity Sampling
186. ICML 2023Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
187. ICML 2023Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
188. ICML 2023SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
189. ICML 2023Smart Initial Basis Selection for Linear Programs
190. ICML 2023SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
191. ICML 2023Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
192. ICML 2023STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
193. ICML 2023Stochastic Gradient Succeeds for Bandits
194. ICML 2023Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
195. ICML 2023Synthetic data for model selection
196. ICML 2023Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
197. ICML 2023Temporal Label Smoothing for Early Event Prediction
198. ICML 2023The Benefits of Mixup for Feature Learning
199. ICML 2023The case for 4-bit precision: k-bit Inference Scaling Laws
200. ICML 2023The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data

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.