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
313 papers, page 5 of 7
- ICLR 2026OpenThoughts: Data Recipes for Reasoning Models
- ICLR 2026Optimal transport unlocks end-to-end learning for single-molecule localization
- ICLR 2026OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research
- ICLR 2026OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs
- ICLR 2026Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
- ICLR 2026Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
- ICLR 2026Overtone: Cyclic Patch Modulation for Cleaner, Faster Physics Emulators
- ICLR 2026P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context
- ICLR 2026PAC-Bayes bounds for cumulative loss in Continual Learning
- ICLR 2026PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
- ICLR 2026Panda: A pretrained forecast model for chaotic dynamics
- ICLR 2026PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery
- ICLR 2026Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL
- ICLR 2026PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
- ICLR 2026PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
- ICLR 2026PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
- ICLR 2026Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds
- ICLR 2026Policy Contrastive Decoding for Robotic Foundation Models
- ICLR 2026Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation
- ICLR 2026Post-training Large Language Models for Diverse High-Quality Responses
- ICLR 2026Post-Training Quantization for Video Matting
- ICLR 2026Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
- ICLR 2026Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
- ICLR 2026PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
- ICLR 2026PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity
- ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
- ICLR 2026Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models
- ICLR 2026PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging
- ICLR 2026Quantitative Bounds for Length Generalization in Transformers
- ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
- ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
- ICLR 2026Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
- ICLR 2026Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning
- ICLR 2026RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model
- ICLR 2026RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks
- ICLR 2026Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
- ICLR 2026Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields
- ICLR 2026Reformulation for Pretraining Data Augmentation
- ICLR 2026Relational Feature Caching for Accelerating Diffusion Transformers
- ICLR 2026RepSpec: Structural Re-parameterized Draft Model Training for Speculative Decoding
- ICLR 2026ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
- ICLR 2026Rethinking Code Similarity for Automated Algorithm Design with LLMs
- ICLR 2026Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
- ICLR 2026Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning
- ICLR 2026S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
- ICLR 2026S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
- ICLR 2026SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
- ICLR 2026Samples Are Not Equal: A Sample Selection Approach for Deep Clustering
- ICLR 2026Scaling Laws for Diffusion Transformers
- ICLR 2026Searching for Privacy Risks in LLM Agents via Simulation
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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.