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

542 papers, page 3 of 11

101. NeurIPS 2025Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
102. NeurIPS 2025Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
103. NeurIPS 2025Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
104. NeurIPS 2025Coresets for Clustering Under Stochastic Noise
105. NeurIPS 2025CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
106. NeurIPS 2025Cost-Aware Contrastive Routing for LLMs
107. NeurIPS 2025Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
108. NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
109. NeurIPS 2025CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
110. NeurIPS 2025CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding
111. NeurIPS 2025CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
112. NeurIPS 2025CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
113. NeurIPS 2025Curly Flow Matching for Learning Non-gradient Field Dynamics
114. NeurIPS 2025CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
115. NeurIPS 2025D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
116. NeurIPS 2025D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
117. NeurIPS 2025DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
118. NeurIPS 2025DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
119. NeurIPS 2025Data-Dependent Regret Bounds for Constrained MABs
120. NeurIPS 2025DBLoss: Decomposition-based Loss Function for Time Series Forecasting
121. NeurIPS 2025Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
122. NeurIPS 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
123. NeurIPS 2025Deep Continuous-Time State-Space Models for Marked Event Sequences
124. NeurIPS 2025Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
125. NeurIPS 2025DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
126. NeurIPS 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection
127. NeurIPS 2025DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
128. NeurIPS 2025Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
129. NeurIPS 2025Depth-Bounds for Neural Networks via the Braid Arrangement
130. NeurIPS 2025Depth-Width Tradeoffs for Transformers on Graph Tasks
131. NeurIPS 2025DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
132. NeurIPS 2025DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
133. NeurIPS 2025Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
134. NeurIPS 2025DINGO: Constrained Inference for Diffusion LLMs
135. NeurIPS 2025Direct Fisher Score Estimation for Likelihood Maximization
136. NeurIPS 2025DISCO: Disentangled Communication Steering for Large Language Models
137. NeurIPS 2025Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
138. NeurIPS 2025DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
139. NeurIPS 2025Distances for Markov chains from sample streams
140. NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
141. NeurIPS 2025dKV-Cache: The Cache for Diffusion Language Models
142. NeurIPS 2025DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
143. NeurIPS 2025Does Stochastic Gradient really succeed for bandits?
144. NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
145. NeurIPS 2025DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
146. NeurIPS 2025Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
147. NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
148. NeurIPS 2025DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
149. NeurIPS 2025DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
150. NeurIPS 2025Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm

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.