Simulation for Driving papers, 2023–2026
Closed-loop simulation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 5,882 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 219 | 182 | 218 | 350 | 969 |
| 2024 | 410 | 176 | 358 | 364 | 1,308 |
| 2025 | 542 | 228 | 275 | 360 | 1,405 |
| 2026 | 940 | 313 | 363 | 584 | 2,200 |
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
1,405 papers, page 17 of 29
- ICML 2025Runtime Analysis of Evolutionary NAS for Multiclass Classification
- ICML 2025SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
- ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
- ICML 2025Scalable First-order Method for Certifying Optimal k-Sparse GLMs
- ICML 2025Scalable Sobolev IPM for Probability Measures on a Graph
- ICML 2025Secant Line Search for Frank-Wolfe Algorithms
- ICML 2025Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
- ICML 2025Selective Response Strategies for GenAI
- ICML 2025Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
- ICML 2025Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts
- ICML 2025Signed Laplacians for Constrained Graph Clustering
- ICML 2025Simple Path Structural Encoding for Graph Transformers
- ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
- ICML 2025SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
- ICML 2025Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
- ICML 2025SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
- ICML 2025SlimLLM: Accurate Structured Pruning for Large Language Models
- ICML 2025Softmax is not Enough (for Sharp Size Generalisation)
- ICML 2025Sparse-pivot: Dynamic correlation clustering for node insertions
- ICML 2025SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
- ICML 2025Speeding up Policy Simulation in Supply Chain RL
- ICML 2025Statistical Test for Feature Selection Pipelines by Selective Inference
- ICML 2025Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
- ICML 2025Steerable Transformers for Volumetric Data
- ICML 2025Stochastic Encodings for Active Feature Acquisition
- ICML 2025Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
- ICML 2025Structure-informed Risk Minimization for Robust Ensemble Learning
- ICML 2025SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
- ICML 2025TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
- ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
- ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
- ICML 2025The Case for Learned Provenance-based System Behavior Baseline
- ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
- ICML 2025The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
- ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
- ICML 2025The Polynomial Stein Discrepancy for Assessing Moment Convergence
- ICML 2025The Role of Sparsity for Length Generalization in LLMs
- ICML 2025The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
- ICML 2025TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
- ICML 2025To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
- ICML 2025Token Coordinated Prompt Attention is Needed for Visual Prompting
- ICML 2025TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks
- ICML 2025Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
- ICML 2025Towards Better-than-2 Approximation for Constrained Correlation Clustering
- ICML 2025Trajectory World Models for Heterogeneous Environments
- ICML 2025Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
- ICML 2025TS-SNN: Temporal Shift Module for Spiking Neural Networks
- ICML 2025TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
- ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
- ICML 2025Uncertainty Quantification for LLM-Based Survey Simulations
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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.