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 34 of 43

1651. NeurIPS 2024Gaussian Process Bandits for Top-k Recommendations
1652. NeurIPS 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
1653. NeurIPS 2024Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
1654. NeurIPS 2024Harnessing Multiple Correlated Networks for Exact Community Recovery
1655. NeurIPS 2024Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
1656. NeurIPS 2024High-probability complexity bounds for stochastic non-convex minimax optimization
1657. NeurIPS 2024HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
1658. NeurIPS 2024HYDRA: Model Factorization Framework for Black-Box LLM Personalization
1659. NeurIPS 2024HydraViT: Stacking Heads for a Scalable ViT
1660. NeurIPS 2024Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
1661. NeurIPS 2024Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
1662. NeurIPS 2024Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
1663. NeurIPS 2024Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
1664. NeurIPS 2024Improved Algorithms for Contextual Dynamic Pricing
1665. NeurIPS 2024Improved Analysis for Bandit Learning in Matching Markets
1666. NeurIPS 2024Improved Particle Approximation Error for Mean Field Neural Networks
1667. NeurIPS 2024Improved Sample Complexity Bounds for Diffusion Model Training
1668. NeurIPS 2024Improved Sample Complexity for Multiclass PAC Learning
1669. NeurIPS 2024Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
1670. NeurIPS 2024Initializing Services in Interactive ML Systems for Diverse Users
1671. NeurIPS 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
1672. NeurIPS 2024Interpretable Generalized Additive Models for Datasets with Missing Values
1673. NeurIPS 2024Interpretable Mesomorphic Networks for Tabular Data
1674. NeurIPS 2024Interventionally Consistent Surrogates for Complex Simulation Models
1675. NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
1676. NeurIPS 2024Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
1677. NeurIPS 2024IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
1678. NeurIPS 2024Is Score Matching Suitable for Estimating Point Processes?
1679. NeurIPS 2024Is Your HD Map Constructor Reliable under Sensor Corruptions?
1680. NeurIPS 2024Is Your LiDAR Placement Optimized for 3D Scene Understanding?
1681. NeurIPS 2024Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
1682. NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
1683. NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
1684. NeurIPS 2024Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
1685. NeurIPS 2024KFNN: K-Free Nearest Neighbor For Crowdsourcing
1686. NeurIPS 2024Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
1687. NeurIPS 2024Label Alignment Regularization for Distribution Shift
1688. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
1689. NeurIPS 2024Layer-Adaptive State Pruning for Deep State Space Models
1690. NeurIPS 2024Learnability Matters: Active Learning for Video Captioning
1691. NeurIPS 2024Learning 3D Garment Animation from Trajectories of A Piece of Cloth
1692. NeurIPS 2024Learning Cooperative Trajectory Representations for Motion Forecasting
1693. NeurIPS 2024Learning Cut Generating Functions for Integer Programming
1694. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
1695. NeurIPS 2024Learning to Handle Complex Constraints for Vehicle Routing Problems
1696. NeurIPS 2024Learning Transferable Features for Implicit Neural Representations
1697. NeurIPS 2024Learning-Augmented Algorithms for the Bahncard Problem
1698. NeurIPS 2024Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
1699. NeurIPS 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
1700. NeurIPS 2024LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication

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.