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 14 of 43

651. NeurIPS 2026Predictive but Not Plannable: RC-aux for Latent World Models
652. NeurIPS 2026Preference-Guided Adversarial Policy Optimization for Long-Tail Robust Driving
653. NeurIPS 2026Prefix-Tuning for Arbitrary Output Sequences on Pretrained Transformers
654. NeurIPS 2026PreFT: Prefill-only finetuning for inference efficiency
655. NeurIPS 2026PRIME: Poincaré return induced measure for learning partially observed dynamical systems
656. NeurIPS 2026Principled Federated Random Forests for Heterogeneous Data
657. NeurIPS 2026Prior as Geometry, Not Generator: Weak-Diffusion Test-Time Reconstruction for Dynamic MRI
658. NeurIPS 2026PRISM: Programming Interactive Scenes from Monocular Images for Embodied Simulation
659. NeurIPS 2026ProactBench: Beyond What The User Asked For
660. NeurIPS 2026Process-Aware LNS for Large-Scale MILP via Context-Enhanced Fine-Tuned LLM-driven Selector
661. NeurIPS 2026ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
662. NeurIPS 2026ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability
663. NeurIPS 2026ProGraf: Profile-Guided Planning for Step-by-Step Generation of Structured Non-Natural Images
664. NeurIPS 2026Program-as-Weights: A Programming Paradigm for Fuzzy Functions
665. NeurIPS 2026Progressive Memory Transformer: Memory-Aware Attention for Time-Series
666. NeurIPS 2026Progressive Residual Warmup for Language Model Pretraining
667. NeurIPS 2026Progressive Risk Estimation for Accident Anticipation
668. NeurIPS 2026Proper Scoring Rules for Agentic Uncertainty Quantification
669. NeurIPS 2026Proposing Better Rollouts for On-Policy Distillation
670. NeurIPS 2026Prototype Topology Consistency for Visible-Infrared Lifelong Person Re-Identification
671. NeurIPS 2026Provable Joint Decontamination for Benchmarking Multiple Large Language Models
672. NeurIPS 2026Provable Pruning for Efficient 3D Gaussian Splatting via Coresets
673. NeurIPS 2026PULSE: A Synchronized Five-Modality Dataset for Sensorimotor Coordination in Long-Horizon Daily Activities
674. NeurIPS 2026QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem
675. NeurIPS 2026Quantifying Centrality for Complex Data
676. NeurIPS 2026Quantile Geometry Regularization for Distributional Reinforcement Learning
677. NeurIPS 2026Quasi-Linear ICA for Motor Unit Decomposition during Dynamic Contractions
678. NeurIPS 2026Query Lower Bounds for Approximating the Top Eigenvector of Asymmetric Matrices
679. NeurIPS 2026Query Lower Bounds for Diffusion Sampling
680. NeurIPS 2026QueryStop: Dynamic Stop Signals for Efficient Streaming Inference
681. NeurIPS 2026QUEST: Q-Learning for Uncertainty-Guided Efficient Search Teams
682. NeurIPS 2026Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning
683. NeurIPS 2026QWaveNet: Quantum-Enhanced Wavelet Network for Time Series Forecasting
684. NeurIPS 2026RadarMAE: Injecting Physical Inductive Biases into Masked Autoencoders for Advanced Radar Object Detection
685. NeurIPS 2026Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
686. NeurIPS 2026RAHF: Reward-Amplified Human Feedback for Closed-Loop Policy Fine-Tuning
687. NeurIPS 2026RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy
688. NeurIPS 2026Random Neural Network Expressivity for Non-Linear Partial Differential Equations
689. NeurIPS 2026Random-Effects Centroids for Domain Generalization
690. NeurIPS 2026Rare-Tail Statistics For Learning Biased Gaussian Halfspaces with Label Noise
691. NeurIPS 2026RASS: Risk-Audited Budget Selection for Compact NeRF Benchmark Subsets
692. NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
693. NeurIPS 2026Readiness-Aware Sample Selection for Noisy Labels with Class Imbalance
694. NeurIPS 2026RECIPE: Learning to Rank Complete Precursor Sets for Inorganic Retrosynthesis
695. NeurIPS 2026Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
696. NeurIPS 2026RecoverBench: A Systematic Benchmark for Error Recovery in Robotic Manipulation
697. NeurIPS 2026Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing
698. NeurIPS 2026Reduced Cost Influence Functions for Predict-then-Optimize under Noisy Data
699. NeurIPS 2026ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
700. NeurIPS 2026Reformulating Neural Operators in $d+1$ Dimensions for Embedding Evolution

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.