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 3 of 6

101. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
102. ICML 2025GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
103. ICML 2025GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
104. ICML 2025Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
105. ICML 2025Gradient-based Explanations for Deep Learning Survival Models
106. ICML 2025Gridded Transformer Neural Processes for Spatio-Temporal Data
107. ICML 2025Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions
108. ICML 2025Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference
109. ICML 2025HashAttention: Semantic Sparsity for Faster Inference
110. ICML 2025Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
111. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
112. ICML 2025High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions
113. ICML 2025HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
114. ICML 2025Hyperspherical Normalization for Scalable Deep Reinforcement Learning
115. ICML 2025Hypothesis Testing for Generalized Thurstone Models
116. ICML 2025Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks
117. ICML 2025Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent
118. ICML 2025Importance Sampling for Nonlinear Models
119. ICML 2025Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
120. ICML 2025Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
121. ICML 2025Improved Online Confidence Bounds for Multinomial Logistic Bandits
122. ICML 2025Improving Memory Efficiency for Training KANs via Meta Learning
123. ICML 2025Independence Tests for Language Models
124. ICML 2025Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations
125. ICML 2025Info-Coevolution: An Efficient Framework for Data Model Coevolution
126. ICML 2025INRFlow: Flow Matching for INRs in Ambient Space
127. ICML 2025Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms
128. ICML 2025Instruction-Following Pruning for Large Language Models
129. ICML 2025Integration-free Kernels for Equivariant Gaussian Process Modelling
130. ICML 2025Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
131. ICML 2025K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
132. ICML 2025KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
133. ICML 2025Label Distribution Propagation-based Label Completion for Crowdsourcing
134. ICML 2025Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
135. ICML 2025Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems
136. ICML 2025Large Language Models are Demonstration Pre-Selectors for Themselves
137. ICML 2025Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
138. ICML 2025LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
139. ICML 2025Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
140. ICML 2025Learning from Sample Stability for Deep Clustering
141. ICML 2025Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
142. ICML 2025Learning Representations of Instruments for Partial Identification of Treatment Effects
143. ICML 2025Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
144. ICML 2025Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
145. ICML 2025Learning to Quantize for Training Vector-Quantized Networks
146. ICML 2025Learning to Stop: Deep Learning for Mean Field Optimal Stopping
147. ICML 2025Learning without Isolation: Pathway Protection for Continual Learning
148. ICML 2025Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
149. ICML 2025LETS Forecast: Learning Embedology for Time Series Forecasting
150. ICML 2025LEVIS: Large Exact Verifiable Input Spaces for Neural Networks

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.