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 10 of 11

451. NeurIPS 2025Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
452. NeurIPS 2025SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
453. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
454. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
455. NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
456. NeurIPS 2025Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
457. NeurIPS 2025SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs
458. NeurIPS 2025Spectral Learning for Infinite-Horizon Average-Reward POMDPs
459. NeurIPS 2025SpectraLDS: Provable Distillation for Linear Dynamical Systems
460. NeurIPS 2025SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
461. NeurIPS 2025Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
462. NeurIPS 2025ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation
463. NeurIPS 2025Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
464. NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
465. NeurIPS 2025STAR: A Benchmark for Astronomical Star Fields Super-Resolution
466. NeurIPS 2025StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
467. NeurIPS 2025State Entropy Regularization for Robust Reinforcement Learning
468. NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
469. NeurIPS 2025State-Covering Trajectory Stitching for Diffusion Planners
470. NeurIPS 2025Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
471. NeurIPS 2025Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
472. NeurIPS 2025Statistical Inference for Gradient Boosting Regression
473. NeurIPS 2025Statistical inference for Linear Stochastic Approximation with Markovian Noise
474. NeurIPS 2025Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
475. NeurIPS 2025Stepsize anything: A unified learning rate schedule for budgeted-iteration training
476. NeurIPS 2025STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
477. NeurIPS 2025STree: Speculative Tree Decoding for Hybrid State Space Models
478. NeurIPS 2025Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
479. NeurIPS 2025STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
480. NeurIPS 2025SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
481. NeurIPS 2025Switchable Token-Specific Codebook Quantization For Face Image Compression
482. NeurIPS 2025SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
483. NeurIPS 2025SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
484. NeurIPS 2025T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
485. NeurIPS 2025T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
486. NeurIPS 2025Table as a Modality for Large Language Models
487. NeurIPS 2025Tail-Optimized Caching for LLM Inference
488. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
489. NeurIPS 2025Taxonomy of reduction matrices for Graph Coarsening
490. NeurIPS 2025Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations
491. NeurIPS 2025TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
492. NeurIPS 2025The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
493. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
494. NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs
495. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
496. NeurIPS 2025Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
497. NeurIPS 2025Tight Bounds for Answering Adaptively Chosen Concentrated Queries
498. NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
499. NeurIPS 2025Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
500. NeurIPS 2025TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting

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.