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

228 papers, page 4 of 5

151. ICLR 2025Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost
152. ICLR 2025ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
153. ICLR 2025PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
154. ICLR 2025Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
155. ICLR 2025Preference Elicitation for Offline Reinforcement Learning
156. ICLR 2025Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation
157. ICLR 2025Progressive Mixed-Precision Decoding for Efficient LLM Inference
158. ICLR 2025Prototype antithesis for biological few-shot class-incremental learning
159. ICLR 2025Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
160. ICLR 2025Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
161. ICLR 2025QERA: an Analytical Framework for Quantization Error Reconstruction
162. ICLR 2025QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
163. ICLR 2025Quamba: A Post-Training Quantization Recipe for Selective State Space Models
164. ICLR 2025Quantifying Generalization Complexity for Large Language Models
165. ICLR 2025Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
166. ICLR 2025Query-based Knowledge Transfer for Heterogeneous Learning Environments
167. ICLR 2025Radar: Fast Long-Context Decoding for Any Transformer
168. ICLR 2025Reconciling Model Multiplicity for Downstream Decision Making
169. ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
170. ICLR 2025ReGen: Generative Robot Simulation via Inverse Design
171. ICLR 2025Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
172. ICLR 2025Regularization by Texts for Latent Diffusion Inverse Solvers
173. ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
174. ICLR 2025Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
175. ICLR 2025Reinforcement learning with combinatorial actions for coupled restless bandits
176. ICLR 2025Repulsive Latent Score Distillation for Solving Inverse Problems
177. ICLR 2025ReSi: A Comprehensive Benchmark for Representational Similarity Measures
178. ICLR 2025RESuM: A Rare Event Surrogate Model for Physics Detector Design
179. ICLR 2025Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
180. ICLR 2025Rethinking Shapley Value for Negative Interactions in Non-convex Games
181. ICLR 2025Revisiting Random Walks for Learning on Graphs
182. ICLR 2025Robust Function-Calling for On-Device Language Model via Function Masking
183. ICLR 2025Robust Simulation-Based Inference under Missing Data via Neural Processes
184. ICLR 2025Robustness Reprogramming for Representation Learning
185. ICLR 2025Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
186. ICLR 2025RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
187. ICLR 2025S4M: S4 for multivariate time series forecasting with Missing values
188. ICLR 2025Score-based free-form architectures for high-dimensional Fokker-Planck equations
189. ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
190. ICLR 2025Self-Normalized Resets for Plasticity in Continual Learning
191. ICLR 2025Semantix: An Energy-guided Sampler for Semantic Style Transfer
192. ICLR 2025Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
193. ICLR 2025Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
194. ICLR 2025SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
195. ICLR 2025Simple Guidance Mechanisms for Discrete Diffusion Models
196. ICLR 2025SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
197. ICLR 2025SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
198. ICLR 2025SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
199. ICLR 2025SOREL: A Stochastic Algorithm for Spectral Risks Minimization
200. ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training

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.