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

1,405 papers, page 28 of 29

1351. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
1352. NeurIPS 2025Taxonomy of reduction matrices for Graph Coarsening
1353. NeurIPS 2025Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations
1354. NeurIPS 2025TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
1355. NeurIPS 2025The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
1356. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
1357. NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs
1358. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
1359. NeurIPS 2025Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
1360. NeurIPS 2025Tight Bounds for Answering Adaptively Chosen Concentrated Queries
1361. NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
1362. NeurIPS 2025Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
1363. NeurIPS 2025TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
1364. NeurIPS 2025TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
1365. NeurIPS 2025Token Perturbation Guidance for Diffusion Models
1366. NeurIPS 2025TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
1367. NeurIPS 2025TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography
1368. NeurIPS 2025TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving
1369. NeurIPS 2025Towards Generalizable Detector for Generated Image
1370. NeurIPS 2025Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
1371. NeurIPS 2025Transductive Conformal Inference for Full Ranking
1372. NeurIPS 2025Transformers are almost optimal metalearners for linear classification
1373. NeurIPS 2025Tree-Based Premise Selection for Lean4
1374. NeurIPS 2025Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
1375. NeurIPS 2025TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
1376. NeurIPS 2025UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
1377. NeurIPS 2025Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
1378. NeurIPS 2025Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
1379. NeurIPS 2025Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
1380. NeurIPS 2025Unfolding the Black Box of Recurrent Neural Networks for Path Integration
1381. NeurIPS 2025Unified Scaling Laws for Compressed Representations
1382. NeurIPS 2025Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting
1383. NeurIPS 2025UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
1384. NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
1385. NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
1386. NeurIPS 2025UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
1387. NeurIPS 2025V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
1388. NeurIPS 2025Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
1389. NeurIPS 2025Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
1390. NeurIPS 2025Variational Uncertainty Decomposition for In-Context Learning
1391. NeurIPS 2025VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
1392. NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
1393. NeurIPS 2025Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
1394. NeurIPS 2025What Matters in Data for DPO?
1395. NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
1396. NeurIPS 2025When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
1397. NeurIPS 2025Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
1398. NeurIPS 2025Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
1399. NeurIPS 2025With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
1400. NeurIPS 2025Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications

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.