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

940 papers, page 3 of 19

101. NeurIPS 2026Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
102. NeurIPS 2026Benchmark for Assessing Olfactory Perception of Large Language Models
103. NeurIPS 2026Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials
104. NeurIPS 2026Benchmarking Optimizers for Large Language Model Pretraining
105. NeurIPS 2026BESS-Bench: Benchmarking Spectral Representations for Be-Star Variability
106. NeurIPS 2026Best Arm Identification for Bandits with Shifting Means
107. NeurIPS 2026Best-of-$N$ Guidance for Test-time Diffusion Alignment
108. NeurIPS 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
109. NeurIPS 2026Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping
110. NeurIPS 2026Beyond Family Labels: A Taxonomic Ornstein-Uhlenbeck Prior for Avian 3D Shape Recovery
111. NeurIPS 2026Beyond Flat Gossip: Tiered Gossip Learning for Scalable Collaborative AI
112. NeurIPS 2026Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior
113. NeurIPS 2026Beyond Linear Decoders: Dynamic Expert-Coupled Optimal Decoding for Time Series Forecasting
114. NeurIPS 2026Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
115. NeurIPS 2026Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
116. NeurIPS 2026Beyond Modality Fusion: Deep Ensembles for Multimodal Classification
117. NeurIPS 2026Beyond MSE: Differentiable Complexity Priors for Structure-Preserving Neural Denoising
118. NeurIPS 2026Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging
119. NeurIPS 2026Beyond Pixel-wise Supervision: Local Structure Regularization for Semantic Segmentation
120. NeurIPS 2026Beyond Raw Observations: Distilling and Storing Invariant Driving Memories for Generalizable Autonomous Driving
121. NeurIPS 2026Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
122. NeurIPS 2026Beyond Steering Vector: Flow-based Activation Steering for Inference-Time Intervention
123. NeurIPS 2026Beyond the Grid: Continuous Dictionary Pursuit for Interpretable Signal Decomposition
124. NeurIPS 2026BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots
125. NeurIPS 2026Bits Beat Tokens: A Regret Rate Distortion Theory for Large Language Model Agents
126. NeurIPS 2026Black-Box Followers, White-Box Leaders: Partial Zeroth-Order Methods for MPECs
127. NeurIPS 2026BLADE: Scalable Bi-level Adaptive Data Selection for LLM Training
128. NeurIPS 2026BlenderFORGE: Framework for Optimizing Reactive 3D-Graphics Editing Ability of MLLMs
129. NeurIPS 2026Block Optimism for Nonstationary Bandits with Latent Linear Dynamics
130. NeurIPS 2026Block-OBS-GS: Exact Per-Block Joint Brain Surgery with Gauss–Seidel Refinement for LLM Pruning
131. NeurIPS 2026BMAttn: Block-Aligned Mixed-Precision Attention Quantization for LLM Inference
132. NeurIPS 2026BO-Arena: An Evolving Benchmark for High-Dimensional Bayesian Optimisation
133. NeurIPS 2026BOOST: Power-Optimal Strong-FWER Testing for Block-Structured Multiplicity
134. NeurIPS 2026Bootstrapped Bipartite Actor-Critic for Diffusion RL
135. NeurIPS 2026Boundary Mass in Feature Space as a Label-Budget Diagnostic for Representations
136. NeurIPS 2026Breaking the Synthesis Barrier for AI-Designed DNA Libraries
137. NeurIPS 2026BReD: Block Replay Dithering for Stable Low-Bit EMA Optimizer States
138. NeurIPS 2026Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
139. NeurIPS 2026Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
140. NeurIPS 2026BridgeTwist: Twisting Schrödinger Bridges for Training-Free Conditional Sampling
141. NeurIPS 2026Bridging Simulation and Reality: Geometry and Decision Alignment for Autonomous Driving
142. NeurIPS 2026Bridging the Gap: Position-Independent Cache Reuse for Hybrid SSM-Attention Architectures
143. NeurIPS 2026Bridging the Simulation-to-Experiment Gap with Adversarial Distribution Alignment
144. NeurIPS 2026BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization
145. NeurIPS 2026Building Transformation Layers for Riemannian Neural Networks
146. NeurIPS 2026BuresTomFlow: Bures-Geometric Flow Matching for Posterior Quantum Tomography
147. NeurIPS 2026Can Hybrid-Parallel Planning Support Alternating Model–Strategy Design? Dependency-Keyed Per-Layer Primitives for Re-Planning
148. NeurIPS 2026Can VLMs Reason When to Stop for Human Safety?
149. NeurIPS 2026Can We Trust Item Response Theory for AI Evaluation?
150. NeurIPS 2026CAPER: Clause-Aligned Process Supervision for Text-to-SQL

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.