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 5 of 19

201. NeurIPS 2026Control Charts for Multi-Agent Systems
202. NeurIPS 2026Control First, Robustness Next: Decoupled Representation Learning for Visual RL Generalization
203. NeurIPS 2026Controlling for Omitted Variable Bias in Deep Neural Networks
204. NeurIPS 2026Controlling Transient Amplification Improves Long-horizon Rollouts
205. NeurIPS 2026Conveyance: A Versatile Framework for Learning in Structured Class Spaces
206. NeurIPS 2026CoQuant: Covariance-Aware Rotation for 2-bit KV Cache Quantization
207. NeurIPS 2026CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
208. NeurIPS 2026Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
209. NeurIPS 2026Correpondence Alignment For Improved Virtual Try-On
210. NeurIPS 2026CorridorLight: Cooperation as Task Negotiation with Causal Gating for Traffic Signal Control
211. NeurIPS 2026Cortically-Resolved Recurrent Architecture for fMRI
212. NeurIPS 2026Counting without Scale: Scale-Consistent Error Correction for Crowd Counting
213. NeurIPS 2026Coupled Guidance for Flow Matching
214. NeurIPS 2026Coupled Integral PINN for Discontinuity
215. NeurIPS 2026Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
216. NeurIPS 2026Coverage-Based Calibration for Post-Training Quantization via Weighted Maximum Coverage over Outlier Channels
217. NeurIPS 2026CRAFT: Conflict-Resolved Aggregation for Federated Training
218. NeurIPS 2026CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
219. NeurIPS 2026Cross-Fitting for Neural Posterior Estimation
220. NeurIPS 2026Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse
221. NeurIPS 2026Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
222. NeurIPS 2026CupOFMoCA: Coupled Objective-Guided Discrete Flows for Molecular Conjugate Assembly
223. NeurIPS 2026CURe: Conservative Unlearning with Soft-Gating Regularization for Offline Reinforcement Learning
224. NeurIPS 2026Curvature Beyond Positivity: Greedy Guarantees for Arbitrary Submodular Functions
225. NeurIPS 2026CUVET: A Partitioning Approach for Continuous Treatment Assignment At Scale
226. NeurIPS 2026CycleSpectra: Cyclic Motion Spectra for Phase-Queryable 4D Cardiac Reconstruction
227. NeurIPS 2026Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
228. NeurIPS 2026D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
229. NeurIPS 2026DACE RL for Compute Efficient Reinforcement Learning in Small Model Reasoning
230. NeurIPS 2026DARPAN: Controllability-Aware Residual Filtering for Pretrained Physical Control
231. NeurIPS 2026DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
232. NeurIPS 2026Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning
233. NeurIPS 2026DBPS: Doob-Bridge Posterior Sampler with Balanced Endpoint-Population Control for Unpaired Neurodegenerative Pathology Transport
234. NeurIPS 2026DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
235. NeurIPS 2026Decision Focused Scenario Learning for Contextual Stochastic Programming
236. NeurIPS 2026Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
237. NeurIPS 2026Decoupling Action from Egocentric Observation for World Simulation
238. NeurIPS 2026Deep Generative Models for Phylogenetic Inference with Complex Evolutionary Processes
239. NeurIPS 2026Deep Learning-based Algebraic Reynolds Stress Closures for RANS simulations of Turbulent Flows
240. NeurIPS 2026DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs
241. NeurIPS 2026DegBins: Degradation-Driven Binning for Depth Super-Resolution
242. NeurIPS 2026Demystifying Numerical Errors in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL
243. NeurIPS 2026Density-Ratio Losses for Post-Hoc Learning to Defer
244. NeurIPS 2026Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
245. NeurIPS 2026Despa: Resolving Spatial Collapse in VLMs via Depth-Grounded Geometry
246. NeurIPS 2026Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics
247. NeurIPS 2026DIAL: A Bounded-Monotone Adapter with Closed-Form Residual $L_\infty$ Bounds for Scalar-Controlled Refusal Modulation
248. NeurIPS 2026DiDE: Direct Injection with Color-Texture DEcoupling for 3D Stylization
249. NeurIPS 2026Diff-Kalman: Difference-Driven Learning for Structure-Preserving Kalman Filtering
250. NeurIPS 2026Differentiable Range-Partition Entropy for Entropy-Sensitive Geometric Algorithms

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.