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 6 of 19

251. NeurIPS 2026Diffusion Masked Pretraining for Dynamic Point Cloud
252. NeurIPS 2026Dimension Bounds for Contractive Reservoir Computing from Input Entropy
253. NeurIPS 2026Direct Conditional Parameterization for N-Dimensional Splatting
254. NeurIPS 2026Disentangled Multimodal Learning for Scalable Dynamic IR-Drop Analysis
255. NeurIPS 2026Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
256. NeurIPS 2026DISTMOE: Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning
257. NeurIPS 2026Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules
258. NeurIPS 2026Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
259. NeurIPS 2026Diverse Representative Rashomon Sets for Sparse Generalized Additive Models
260. NeurIPS 2026DiversePlace: Diversity-Seeking Curriculum Reinforcement Learning for Macro Placement
261. NeurIPS 2026Diversity Maximization: Algorithms for Distant $k$-Subsets
262. NeurIPS 2026DMax: Aggressive Parallel Decoding for dLLMs
263. NeurIPS 2026DoFP-Aligned Lookup Tables for Real-Time Polarization Demosaicking
264. NeurIPS 2026Don’t Learn What You Can Compute: Arithmetic Residual Blocks for Exact Arithmetic in Transformers
265. NeurIPS 2026Don't Waste Population: Post-Anneal Refinement for Combinatorial Optimization
266. NeurIPS 2026DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
267. NeurIPS 2026DPA: Decentralized Primal Averaging with Quasi-Global Momentum for Highly Heterogeneous Data
268. NeurIPS 2026DriveFuture: Future-Aware Latent World Models for Autonomous Driving
269. NeurIPS 2026DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving
270. NeurIPS 2026DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
271. NeurIPS 2026Driving on Memory
272. NeurIPS 2026Driving Video Retrieval for Complex Queries with Structured Grounding
273. NeurIPS 2026DropKV: Decoupling Residual-Output Perturbation for Near-Optimal KV-Cache Eviction
274. NeurIPS 2026DSSA: Dynamic Sparse Semantic Anchoring for Purifying Protective Perturbations against Diffusion Models
275. NeurIPS 2026DualSAT: A Dual-Branch GNN-Transformer Framework for SAT Solving
276. NeurIPS 2026DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards
277. NeurIPS 2026DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification
278. NeurIPS 2026DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
279. NeurIPS 2026DynamAuction: a reinforcement learning environment for repeated auction with dynamic value
280. NeurIPS 2026Dynamic Quadtree Tokenization for Autoregressive PDE Forecasting
281. NeurIPS 2026Dynamic Query as Budgeting for Tiny Object Detection
282. NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
283. NeurIPS 2026DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
284. NeurIPS 2026DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs
285. NeurIPS 2026ECHO: Terminal Agents Learn World Models for Free
286. NeurIPS 2026Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
287. NeurIPS 2026Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
288. NeurIPS 2026Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models
289. NeurIPS 2026EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction
290. NeurIPS 2026Efficient Algorithms for Distributed Saddle Problems
291. NeurIPS 2026Efficient Algorithms For Fully Dynamic Bipartite Matching In Metric Spaces
292. NeurIPS 2026Efficient Decoder Scaling Strategy for Constructive Neural Routing Solvers
293. NeurIPS 2026Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
294. NeurIPS 2026EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents
295. NeurIPS 2026EgoSurgHands: An Egocentric 3D Hand Pose Dataset & Benchmark for Open-Surgery Training
296. NeurIPS 2026EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
297. NeurIPS 2026EM-NeSy: Expectation Maximization for Neurosymbolic Learning
298. NeurIPS 2026EMA-Nesterov: Stabilizing Nesterov's Lookahead for Accelerated Deep Learning Optimization
299. NeurIPS 2026Embedded-Arena: Building Hardware-in-the-Loop Coding Agents to Run AI on Microcontrollers
300. NeurIPS 2026EMO: Pretraining Mixture of Experts for Emergent Modularity

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.