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

899 papers, page 7 of 18

301. ICLR 2026Universal Model Routing for Efficient LLM Inference
302. ICLR 2026UnLoc: Leveraging Depth Uncertainties for Floorplan Localization
303. ICLR 2026VADv2: End-to-End Autonomous Driving via Probabilistic Planning
304. ICLR 2026Variance-Dependent Regret Lower Bounds for Contextual Bandits
305. ICLR 2026VCWorld: A Biological World Model for Virtual Cell Simulation
306. ICLR 2026Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV
307. ICLR 2026Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems
308. ICLR 2026WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables
309. ICLR 2026Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
310. ICLR 2026WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport
311. ICLR 2026WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving
312. ICLR 2026WoW!: World Models in a Closed-Loop World
313. ICLR 2026WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
314. ICLR 2025{$\tau$}-bench: A Benchmark for \underline{T}ool-\underline{A}gent-\underline{U}ser Interaction in Real-World Domains
315. ICLR 2025$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
316. ICLR 20253DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
317. ICLR 2025A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
318. ICLR 2025A Solvable Attention for Neural Scaling Laws
319. ICLR 2025A Statistical Approach for Controlled Training Data Detection
320. ICLR 2025A Truncated Newton Method for Optimal Transport
321. ICLR 2025A Watermark for Order-Agnostic Language Models
322. ICLR 2025AdaWM: Adaptive World Model based Planning for Autonomous Driving
323. ICLR 2025Addressing Label Shift in Distributed Learning via Entropy Regularization
324. ICLR 2025ADMM for Structured Fractional Minimization
325. ICLR 2025Advantage-Guided Distillation for Preference Alignment in Small Language Models
326. ICLR 2025Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
327. ICLR 2025AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
328. ICLR 2025Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
329. ICLR 2025Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
330. ICLR 2025An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
331. ICLR 2025Analytic DAG Constraints for Differentiable DAG Learning
332. ICLR 2025Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
333. ICLR 2025AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
334. ICLR 2025AtomSurf: Surface Representation for Learning on Protein Structures
335. ICLR 2025AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
336. ICLR 2025Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
337. ICLR 2025Beware of Calibration Data for Pruning Large Language Models
338. ICLR 2025Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
339. ICLR 2025Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
340. ICLR 2025BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
341. ICLR 2025Block-Attention for Efficient Prefilling
342. ICLR 2025Boltzmann priors for Implicit Transfer Operators
343. ICLR 2025Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
344. ICLR 2025Boosting Multiple Views for pretrained-based Continual Learning
345. ICLR 2025Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
346. ICLR 2025BP-Modified Local Loss for Efficient Training of Deep Neural Networks
347. ICLR 2025Bundle Neural Network for message diffusion on graphs
348. ICLR 2025CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
349. ICLR 2025CBQ: Cross-Block Quantization for Large Language Models
350. ICLR 2025CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

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.