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

2,199 papers, page 30 of 44

1451. NeurIPS 2026Conservation Laws for Diffusion Models
1452. NeurIPS 2026Conservatism Controllable Compositional Guidance for Offline Safe Reinforcement Learning
1453. NeurIPS 2026Consolidating Rewarded Perturbations for LLM Post-Training
1454. NeurIPS 2026Constrained Modulatory Reservoirs for Context-Dependent Computation
1455. NeurIPS 2026Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
1456. NeurIPS 2026ContextShift: A Controlled Benchmark for Context Dependence in Object Detection
1457. NeurIPS 2026Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
1458. NeurIPS 2026Contrastive Nonmyopic Objective Cost-Tradeoff Acquisition for Longitudinal Data
1459. NeurIPS 2026Contribution-Aware Structured Sparsity for Model Merging
1460. NeurIPS 2026Control Charts for Multi-Agent Systems
1461. NeurIPS 2026Control First, Robustness Next: Decoupled Representation Learning for Visual RL Generalization
1462. NeurIPS 2026Controlling for Omitted Variable Bias in Deep Neural Networks
1463. NeurIPS 2026Controlling Transient Amplification Improves Long-horizon Rollouts
1464. NeurIPS 2026Conveyance: A Versatile Framework for Learning in Structured Class Spaces
1465. NeurIPS 2026CoQuant: Covariance-Aware Rotation for 2-bit KV Cache Quantization
1466. NeurIPS 2026CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
1467. NeurIPS 2026Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
1468. NeurIPS 2026Correpondence Alignment For Improved Virtual Try-On
1469. NeurIPS 2026CorridorLight: Cooperation as Task Negotiation with Causal Gating for Traffic Signal Control
1470. NeurIPS 2026Cortically-Resolved Recurrent Architecture for fMRI
1471. NeurIPS 2026Counting without Scale: Scale-Consistent Error Correction for Crowd Counting
1472. NeurIPS 2026Coupled Guidance for Flow Matching
1473. NeurIPS 2026Coupled Integral PINN for Discontinuity
1474. NeurIPS 2026Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
1475. NeurIPS 2026Coverage-Based Calibration for Post-Training Quantization via Weighted Maximum Coverage over Outlier Channels
1476. NeurIPS 2026CRAFT: Conflict-Resolved Aggregation for Federated Training
1477. NeurIPS 2026CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
1478. NeurIPS 2026Cross-Fitting for Neural Posterior Estimation
1479. NeurIPS 2026Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse
1480. NeurIPS 2026Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
1481. NeurIPS 2026CupOFMoCA: Coupled Objective-Guided Discrete Flows for Molecular Conjugate Assembly
1482. NeurIPS 2026CURe: Conservative Unlearning with Soft-Gating Regularization for Offline Reinforcement Learning
1483. NeurIPS 2026Curvature Beyond Positivity: Greedy Guarantees for Arbitrary Submodular Functions
1484. NeurIPS 2026CUVET: A Partitioning Approach for Continuous Treatment Assignment At Scale
1485. NeurIPS 2026CycleSpectra: Cyclic Motion Spectra for Phase-Queryable 4D Cardiac Reconstruction
1486. NeurIPS 2026Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
1487. NeurIPS 2026D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
1488. NeurIPS 2026DACE RL for Compute Efficient Reinforcement Learning in Small Model Reasoning
1489. NeurIPS 2026DARPAN: Controllability-Aware Residual Filtering for Pretrained Physical Control
1490. NeurIPS 2026DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
1491. NeurIPS 2026Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning
1492. NeurIPS 2026DBPS: Doob-Bridge Posterior Sampler with Balanced Endpoint-Population Control for Unpaired Neurodegenerative Pathology Transport
1493. NeurIPS 2026DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
1494. NeurIPS 2026Decision Focused Scenario Learning for Contextual Stochastic Programming
1495. NeurIPS 2026Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
1496. NeurIPS 2026Decoupling Action from Egocentric Observation for World Simulation
1497. NeurIPS 2026Deep Generative Models for Phylogenetic Inference with Complex Evolutionary Processes
1498. NeurIPS 2026Deep Learning-based Algebraic Reynolds Stress Closures for RANS simulations of Turbulent Flows
1499. NeurIPS 2026DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs
1500. NeurIPS 2026DegBins: Degradation-Driven Binning for Depth Super-Resolution

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.