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 30 of 43

1451. NeurIPS 2025Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
1452. NeurIPS 2025TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
1453. NeurIPS 2025UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
1454. NeurIPS 2025Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
1455. NeurIPS 2025Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
1456. NeurIPS 2025Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
1457. NeurIPS 2025Unfolding the Black Box of Recurrent Neural Networks for Path Integration
1458. NeurIPS 2025Unified Scaling Laws for Compressed Representations
1459. NeurIPS 2025Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting
1460. NeurIPS 2025UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
1461. NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
1462. NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
1463. NeurIPS 2025UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
1464. NeurIPS 2025V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
1465. NeurIPS 2025Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
1466. NeurIPS 2025Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
1467. NeurIPS 2025Variational Uncertainty Decomposition for In-Context Learning
1468. NeurIPS 2025VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
1469. NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
1470. NeurIPS 2025Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
1471. NeurIPS 2025What Matters in Data for DPO?
1472. NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
1473. NeurIPS 2025When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
1474. NeurIPS 2025Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
1475. NeurIPS 2025Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
1476. NeurIPS 2025With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
1477. NeurIPS 2025Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications
1478. NeurIPS 2025X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
1479. NeurIPS 2025You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
1480. NeurIPS 2025ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention
1481. NeurIPS 2025ZeroS: Zero‑Sum Linear Attention for Efficient Transformers
1482. NeurIPS 2025ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS
1483. NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
1484. NeurIPS 2024$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
1485. NeurIPS 2024$\texttt{dattri}$: A Library for Efficient Data Attribution
1486. NeurIPS 2024$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
1487. NeurIPS 2024$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning
1488. NeurIPS 20244-bit Shampoo for Memory-Efficient Network Training
1489. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
1490. NeurIPS 2024A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts
1491. NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
1492. NeurIPS 2024A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
1493. NeurIPS 2024A Compositional Atlas for Algebraic Circuits
1494. NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
1495. NeurIPS 2024A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
1496. NeurIPS 2024A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics
1497. NeurIPS 2024A generalized neural tangent kernel for surrogate gradient learning
1498. NeurIPS 2024A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
1499. NeurIPS 2024A hierarchical decomposition for explaining ML performance discrepancies
1500. NeurIPS 2024A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks

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.