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
228 papers, page 5 of 5
- ICLR 2025Sparse Learning for State Space Models on Mobile
- ICLR 2025Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
- ICLR 2025Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
- ICLR 2025STAR: Stability-Inducing Weight Perturbation for Continual Learning
- ICLR 2025STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes
- ICLR 2025Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
- ICLR 2025Structure Language Models for Protein Conformation Generation
- ICLR 2025SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
- ICLR 2025SWEb: A Large Web Dataset for the Scandinavian Languages
- ICLR 2025Tailoring Mixup to Data for Calibration
- ICLR 2025Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
- ICLR 2025TorchTitan: One-stop PyTorch native solution for production ready LLM pretraining
- ICLR 2025Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
- ICLR 2025Training-Free Message Passing for Learning on Hypergraphs
- ICLR 2025Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
- ICLR 2025Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
- ICLR 2025TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
- ICLR 2025Uncertainty Herding: One Active Learning Method for All Label Budgets
- ICLR 2025UniDrive: Towards Universal Driving Perception Across Camera Configurations
- ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
- ICLR 2025uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
- ICLR 2025Utilitarian Algorithm Configuration for Infinite Parameter Spaces
- ICLR 2025Variance-Reducing Couplings for Random Features
- ICLR 2025What Are Good Positional Encodings for Directed Graphs?
- ICLR 2025X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
- ICLR 2025XAIguiFormer: explainable artificial intelligence guided transformer for brain disorder identification
- ICLR 2025Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
- ICLR 2025Your Weak LLM is Secretly a Strong Teacher for Alignment
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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.