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

358 papers, page 4 of 8

151. ICML 2024In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
152. ICML 2024Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints
153. ICML 2024InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
154. ICML 2024Interpretable Deep Clustering for Tabular Data
155. ICML 2024Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
156. ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
157. ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
158. ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
159. ICML 2024Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
160. ICML 2024Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
161. ICML 2024Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
162. ICML 2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
163. ICML 2024Knowledge-aware Reinforced Language Models for Protein Directed Evolution
164. ICML 2024LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
165. ICML 2024Latent variable model for high-dimensional point process with structured missingness
166. ICML 2024Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
167. ICML 2024Learning Latent Dynamic Robust Representations for World Models
168. ICML 2024Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
169. ICML 2024Learning Pseudo-Contractive Denoisers for Inverse Problems
170. ICML 2024Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
171. ICML 2024Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
172. ICML 2024Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
173. ICML 2024Learning to Explore for Stochastic Gradient MCMC
174. ICML 2024Learning to Scale Logits for Temperature-Conditional GFlowNets
175. ICML 2024Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
176. ICML 2024LESS: Selecting Influential Data for Targeted Instruction Tuning
177. ICML 2024Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing
178. ICML 2024LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
179. ICML 2024Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
180. ICML 2024Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
181. ICML 2024Linear Explanations for Individual Neurons
182. ICML 2024Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
183. ICML 2024LLark: A Multimodal Instruction-Following Language Model for Music
184. ICML 2024Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
185. ICML 2024Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
186. ICML 2024Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
187. ICML 2024LoCoCo: Dropping In Convolutions for Long Context Compression
188. ICML 2024Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
189. ICML 2024Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
190. ICML 2024LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
191. ICML 2024LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
192. ICML 2024MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
193. ICML 2024Making Old Things New: A Unified Algorithm for Differentially Private Clustering
194. ICML 2024Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
195. ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
196. ICML 2024Mechanistic Neural Networks for Scientific Machine Learning
197. ICML 2024Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
198. ICML 2024Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
199. ICML 2024MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
200. ICML 2024MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

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.