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

2,199 papers, page 41 of 44

2001. NeurIPS 2026Rubato: Signature Attention for Irregular Multivariate Time Series Forecasting
2002. NeurIPS 2026RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
2003. NeurIPS 2026S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF
2004. NeurIPS 2026SAFE-FEC: Semantically Constrained Adversarial Frontier Evolution for Factual Error Correction
2005. NeurIPS 2026SAFE-Hair: Scalp-Anchored Fields for Exportable Single-View Hair Reconstruction
2006. NeurIPS 2026SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design
2007. NeurIPS 2026Salvation Lies Within: Proactive Prefix Re-forming for LLM-based Tagging
2008. NeurIPS 2026Sample Size Design for Bounds on Discrete Probabilities of Causation
2009. NeurIPS 2026SAVE: Sparsity-Aware Influence Estimation for Vocabulary-Expanded LLMs
2010. NeurIPS 2026Scale Where It Matters: Training-Free Localized Scaling for Diffusion Models
2011. NeurIPS 2026Scale-Invariant Empirical-Bayes Laplace Approximation for ReLU Networks
2012. NeurIPS 2026Scaling Laws for SAE Training Data
2013. NeurIPS 2026Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet
2014. NeurIPS 2026SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
2015. NeurIPS 2026SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics
2016. NeurIPS 2026SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
2017. NeurIPS 2026SD-Search: Hindsight Self-Distillation for Search-Augmented Reasoning
2018. NeurIPS 2026Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
2019. NeurIPS 2026SEISMOS: A Statistical Signal Detection Framework for Semantic Chunking
2020. NeurIPS 2026Self-Programmed Execution for Language-Model Agents
2021. NeurIPS 2026SETA: Scaling Environments for Terminal Agents
2022. NeurIPS 2026SGEvolve: Semantic Gradient Guidance for LLM-Driven Evolutionary Search
2023. NeurIPS 2026SH$^2$: A Mathematician-Curated benchmark for Assessing Research-level Math Capabilities of LLMs
2024. NeurIPS 2026Shared Modular Recurrence in Contextual MDPs for Universal Morphology Control
2025. NeurIPS 2026Shared-Noise Mechanisms for Verifiable Differentially Private Counting
2026. NeurIPS 2026Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
2027. NeurIPS 2026Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation
2028. NeurIPS 2026Should We Pay This Much for Robustness? Efficient Proxy Certificates with Marginal Guarantees
2029. NeurIPS 2026Signed-Permutation Coordinate Transport for RMSNorm Transformers
2030. NeurIPS 2026Similarity-Constrained Reweighting for Complex Query Answering on Knowledge Graphs
2031. NeurIPS 2026Simulation-aided Reinforcement Learning with Control Variates
2032. NeurIPS 2026Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
2033. NeurIPS 2026SIRAS: Sibling-Relative Advantage Shaping for Reinforcement Learning from Verifiable Rewards
2034. NeurIPS 2026SkillOpt: Executive Strategy for Self-Evolving Agent Skills
2035. NeurIPS 2026SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement Learning
2036. NeurIPS 2026SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data
2037. NeurIPS 2026Small Model Portfolios for Many Deployment Profiles: Submodular Coverage under Bundled Constraints
2038. NeurIPS 2026SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
2039. NeurIPS 2026SOAR: Regression-based LiDAR Relocalization for UAVs
2040. NeurIPS 2026SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
2041. NeurIPS 2026SoDeArena: A Socially-Situated Reasoning Benchmark for Large Language Models
2042. NeurIPS 2026Solver-as-Teacher: Solver-Guided On-Policy Post-Training Framework for PDE Foundation Models
2043. NeurIPS 2026Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer
2044. NeurIPS 2026SolvMix: Learning Formulation-State Landscapes for Liquid Electrolyte Conductivity Prediction
2045. NeurIPS 2026SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning
2046. NeurIPS 2026SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
2047. NeurIPS 2026SpaG-DiT: Enhancing Spatial Grounding for Diffusion Transformers
2048. NeurIPS 2026Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache
2049. NeurIPS 2026Sparse Internal Control of Language Models
2050. NeurIPS 2026Sparse Sum-of-Squares Layers for Certified Learning

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.