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

2,111 papers, page 31 of 43

1501. NeurIPS 2024A Metalearned Neural Circuit for Nonparametric Bayesian Inference
1502. NeurIPS 2024A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
1503. NeurIPS 2024A Modular Conditional Diffusion Framework for Image Reconstruction
1504. NeurIPS 2024A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
1505. NeurIPS 2024A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness
1506. NeurIPS 2024A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration
1507. NeurIPS 2024A Siamese Transformer with Hierarchical Refinement for Lane Detection
1508. NeurIPS 2024A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
1509. NeurIPS 2024A Theoretical Perspective for Speculative Decoding Algorithm
1510. NeurIPS 2024A two-scale Complexity Measure for Deep Learning Models
1511. NeurIPS 2024A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch
1512. NeurIPS 2024A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
1513. NeurIPS 2024A Universal Growth Rate for Learning with Smooth Surrogate Losses
1514. NeurIPS 2024Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
1515. NeurIPS 2024Acoustic Volume Rendering for Neural Impulse Response Fields
1516. NeurIPS 2024Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
1517. NeurIPS 2024AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation
1518. NeurIPS 2024AdjointDEIS: Efficient Gradients for Diffusion Models
1519. NeurIPS 2024Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
1520. NeurIPS 2024Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
1521. NeurIPS 2024Alignment for Honesty
1522. NeurIPS 2024AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
1523. NeurIPS 2024Amortized Eigendecomposition for Neural Networks
1524. NeurIPS 2024Amortized Fourier Neural Operators
1525. NeurIPS 2024An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
1526. NeurIPS 2024An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
1527. NeurIPS 2024An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
1528. NeurIPS 2024An Improved Empirical Fisher Approximation for Natural Gradient Descent
1529. NeurIPS 2024Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
1530. NeurIPS 2024Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
1531. NeurIPS 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
1532. NeurIPS 2024APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
1533. NeurIPS 2024Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
1534. NeurIPS 2024Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
1535. NeurIPS 2024Are Multiple Instance Learning Algorithms Learnable for Instances?
1536. NeurIPS 2024Assemblage: Automatic Binary Dataset Construction for Machine Learning
1537. NeurIPS 2024Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
1538. NeurIPS 2024Average gradient outer product as a mechanism for deep neural collapse
1539. NeurIPS 2024Banded Square Root Matrix Factorization for Differentially Private Model Training
1540. NeurIPS 2024BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
1541. NeurIPS 2024Belief-State Query Policies for User-Aligned POMDPs
1542. NeurIPS 2024Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
1543. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
1544. NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
1545. NeurIPS 2024Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
1546. NeurIPS 2024BiDM: Pushing the Limit of Quantization for Diffusion Models
1547. NeurIPS 2024BMRS: Bayesian Model Reduction for Structured Pruning
1548. NeurIPS 2024Boundary Decomposition for Nadir Objective Vector Estimation
1549. NeurIPS 2024Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
1550. NeurIPS 2024Cascade Speculative Drafting for Even Faster LLM Inference

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.