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

313 papers, page 6 of 7

251. ICLR 2026Selective Data Removal for Distributional Machine Unlearning
252. ICLR 2026SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
253. ICLR 2026SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
254. ICLR 2026ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code
255. ICLR 2026Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
256. ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
257. ICLR 2026SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
258. ICLR 2026SkyEvents: A Large-Scale Event-enhanced UAV Dataset for Robust 3D Scene Reconstruction
259. ICLR 2026SliderQuant: Accurate Post-Training Quantization for LLMs
260. ICLR 2026SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
261. ICLR 2026SparseD: Sparse Attention for Diffusion Language Models
262. ICLR 2026Spatially Informed Autoencoders for Interpretable Visual Representation Learning
263. ICLR 2026Spectral Attention Steering for Prompt Highlighting
264. ICLR 2026Speculative Actions: A Lossless Framework for Faster AI Agents
265. ICLR 2026Spike-based Digital Brain: a novel fundamental model for brain activity analysis
266. ICLR 2026Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
267. ICLR 2026SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
268. ICLR 2026Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping
269. ICLR 2026STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models
270. ICLR 2026STAR: Strategy-driven Automatic Jailbreak Red-teaming For Large Language Model
271. ICLR 2026STARK: Strategic Team of Agents for Refining Kernels
272. ICLR 2026station2radar: query‑conditioned gaussian splatting for precipitation field
273. ICLR 2026STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation
274. ICLR 2026Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding
275. ICLR 2026SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive
276. ICLR 2026Sublinear Time Quantum Algorithm for Attention Approximation
277. ICLR 2026SWE-RM: Execution-free Feedback for Software Engineering Agents
278. ICLR 2026Symmetric Space Learning for Combinatorial Generalization
279. ICLR 2026T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation
280. ICLR 2026Taming Curvature: Architecture Warm-up for Stable Transformer Training
281. ICLR 2026TEMPFLOW-GRPO: WHEN TIMING MATTERS FOR GRPO IN FLOW MODELS
282. ICLR 2026Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability
283. ICLR 2026Tequila: Deadzone-free Ternary Quantization for Large Language Models
284. ICLR 2026Test-Time Iterative Error Correction for Efficient Diffusion Models
285. ICLR 2026Textual Equilibrium Propagation for Deep Compound AI Systems
286. ICLR 2026The Expressive Limits of Diagonal SSMs for State-Tracking
287. ICLR 2026Theoretical Guarantees for Causal Discovery on Large Random Graphs
288. ICLR 2026Tight Bounds for Schrodinger Potential Estimation in Unpaired Data Translation
289. ICLR 2026Token-level Data Selection for Safe LLM Fine-tuning
290. ICLR 2026Towards Sampling Data Structures for Tensor Products in Turnstile Streams
291. ICLR 2026Traceable Black-Box Watermarks For Federated Learning
292. ICLR 2026Train Once, Answer All: Many Pretraining Experiments for the Cost of One
293. ICLR 2026TrajTok: What makes for a good trajectory tokenizer in behavior generation?
294. ICLR 2026Triangle Multiplication is All You Need for Biomolecular Structure Representations
295. ICLR 2026Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
296. ICLR 2026TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix
297. ICLR 2026Unbalanced Soft-Matching Distance For Neural Representational Comparison With Partial Unit Correspondence
298. ICLR 2026Unbiased Gradient Estimation for Event Binning via Functional Backpropagation
299. ICLR 2026Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
300. ICLR 2026UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction

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.