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

542 papers, page 9 of 11

401. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
402. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
403. NeurIPS 2025RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
404. NeurIPS 2025ReSim: Reliable World Simulation for Autonomous Driving
405. NeurIPS 2025Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
406. NeurIPS 2025Rethinking Losses for Diffusion Bridge Samplers
407. NeurIPS 2025Rethinking Tokenized Graph Transformers for Node Classification
408. NeurIPS 2025Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
409. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
410. NeurIPS 2025Revisiting Orbital Minimization Method for Neural Operator Decomposition
411. NeurIPS 2025Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening
412. NeurIPS 2025RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
413. NeurIPS 2025Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
414. NeurIPS 2025Risk Bounds For Distributional Regression
415. NeurIPS 2025RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
416. NeurIPS 2025RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation
417. NeurIPS 2025RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
418. NeurIPS 2025RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
419. NeurIPS 2025RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
420. NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
421. NeurIPS 2025S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
422. NeurIPS 2025SALS: Sparse Attention in Latent Space for KV Cache Compression
423. NeurIPS 2025SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis
424. NeurIPS 2025Sampled Estimators For Softmax Must Be Biased
425. NeurIPS 2025SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
426. NeurIPS 2025Scalable Best-of-N Selection for Large Language Models via Self-Certainty
427. NeurIPS 2025Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
428. NeurIPS 2025Scalable Policy-Based RL Algorithms for POMDPs
429. NeurIPS 2025Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
430. NeurIPS 2025Scaling Laws for Optimal Data Mixtures
431. NeurIPS 2025SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
432. NeurIPS 2025SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
433. NeurIPS 2025See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction
434. NeurIPS 2025See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
435. NeurIPS 2025SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
436. NeurIPS 2025Selective Learning for Deep Time Series Forecasting
437. NeurIPS 2025Self-diffusion for Solving Inverse Problems
438. NeurIPS 2025Semantic-guided Diverse Decoding for Large Language Model
439. NeurIPS 2025SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
440. NeurIPS 2025ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
441. NeurIPS 2025Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors
442. NeurIPS 2025Sharp Gaussian approximations for Decentralized Federated Learning
443. NeurIPS 2025Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
444. NeurIPS 2025Simple Distillation for One-Step Diffusion Models
445. NeurIPS 2025SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
446. NeurIPS 2025Simulation-Based Inference for Adaptive Experiments
447. NeurIPS 2025Sinusoidal Initialization, Time for a New Start
448. NeurIPS 2025Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
449. NeurIPS 2025Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations
450. NeurIPS 2025SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.

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.