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

1,405 papers, page 22 of 29

1051. NeurIPS 2025Foundations of Top-$k$ Decoding for Language Models
1052. NeurIPS 2025FreeInv: Free Lunch for Improving DDIM Inversion
1053. NeurIPS 2025From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
1054. NeurIPS 2025From Euler to AI: Unifying Formulas for Mathematical Constants
1055. NeurIPS 2025From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
1056. NeurIPS 2025From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
1057. NeurIPS 2025Fully Dynamic Algorithms for Chamfer Distance
1058. NeurIPS 2025Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
1059. NeurIPS 2025Functional data analysis for multivariate distributions through Wasserstein slicing
1060. NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
1061. NeurIPS 2025FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
1062. NeurIPS 2025Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
1063. NeurIPS 2025Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
1064. NeurIPS 2025Gaussian Processes for Shuffled Regression
1065. NeurIPS 2025GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
1066. NeurIPS 2025Generalization Bounds for Model-based Algorithm Configuration
1067. NeurIPS 2025Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
1068. NeurIPS 2025Generalized Linear Mode Connectivity for Transformers
1069. NeurIPS 2025Generalized Top-k Mallows Model for Ranked Choices
1070. NeurIPS 2025Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
1071. NeurIPS 2025Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
1072. NeurIPS 2025GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
1073. NeurIPS 2025GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility
1074. NeurIPS 2025Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
1075. NeurIPS 2025Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
1076. NeurIPS 2025GMM-based VAE model with Normalising Flow for effective stochastic segmentation
1077. NeurIPS 2025Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
1078. NeurIPS 2025GradMetaNet: An Equivariant Architecture for Learning on Gradients
1079. NeurIPS 2025GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
1080. NeurIPS 2025Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
1081. NeurIPS 2025GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
1082. NeurIPS 2025Group-Level Data Selection for Efficient Pretraining
1083. NeurIPS 2025Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
1084. NeurIPS 2025Gymnasium: A Standard Interface for Reinforcement Learning Environments
1085. NeurIPS 2025GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
1086. NeurIPS 2025Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
1087. NeurIPS 2025Hankel Singular Value Regularization for Highly Compressible State Space Models
1088. NeurIPS 2025HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
1089. NeurIPS 2025HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
1090. NeurIPS 2025HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
1091. NeurIPS 2025Hierarchical Implicit Neural Emulators
1092. NeurIPS 2025HoliTom: Holistic Token Merging for Fast Video Large Language Models
1093. NeurIPS 2025HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
1094. NeurIPS 2025How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
1095. NeurIPS 2025Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
1096. NeurIPS 2025Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
1097. NeurIPS 2025Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
1098. NeurIPS 2025Hyperbolic Fine-Tuning for Large Language Models
1099. NeurIPS 2025Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
1100. NeurIPS 2025Improved Algorithms for Fair Matroid Submodular Maximization

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.