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

1,214 papers, page 13 of 25

601. ICML 2025Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
602. ICML 2025Structure-informed Risk Minimization for Robust Ensemble Learning
603. ICML 2025SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
604. ICML 2025TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
605. ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
606. ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
607. ICML 2025The Case for Learned Provenance-based System Behavior Baseline
608. ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
609. ICML 2025The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
610. ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
611. ICML 2025The Polynomial Stein Discrepancy for Assessing Moment Convergence
612. ICML 2025The Role of Sparsity for Length Generalization in LLMs
613. ICML 2025The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
614. ICML 2025TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
615. ICML 2025To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
616. ICML 2025Token Coordinated Prompt Attention is Needed for Visual Prompting
617. ICML 2025TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks
618. ICML 2025Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
619. ICML 2025Towards Better-than-2 Approximation for Constrained Correlation Clustering
620. ICML 2025Trajectory World Models for Heterogeneous Environments
621. ICML 2025Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
622. ICML 2025TS-SNN: Temporal Shift Module for Spiking Neural Networks
623. ICML 2025TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
624. ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
625. ICML 2025Uncertainty Quantification for LLM-Based Survey Simulations
626. ICML 2025UnHiPPO: Uncertainty-aware Initialization for State Space Models
627. ICML 2025Unified Screening for Multiple Diseases
628. ICML 2025Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
629. ICML 2025UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
630. ICML 2025Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing
631. ICML 2025Unnatural Languages Are Not Bugs but Features for LLMs
632. ICML 2025Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations
633. ICML 2025VinePPO: Refining Credit Assignment in RL Training of LLMs
634. ICML 2025Volume-Aware Distance for Robust Similarity Learning
635. ICML 2025WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
636. ICML 2025WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
637. ICML 2025When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
638. ICML 2025WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
639. ICML 2024$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
640. ICML 2024$H$-Consistency Guarantees for Regression
641. ICML 2024A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
642. ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
643. ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
644. ICML 2024A fast algorithm to simulate nonlinear resistive networks
645. ICML 2024A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
646. ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
647. ICML 2024A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
648. ICML 2024A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
649. ICML 2024A Provable Decision Rule for Out-of-Distribution Detection
650. ICML 2024A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

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.