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

5,881 papers, page 118 of 118

5851. NeurIPS 2023Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
5852. NeurIPS 2023SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
5853. NeurIPS 2023Swarm Reinforcement Learning for Adaptive Mesh Refinement
5854. NeurIPS 2023Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
5855. NeurIPS 2023The Cambridge Law Corpus: A Dataset for Legal AI Research
5856. NeurIPS 2023The Exact Sample Complexity Gain from Invariances for Kernel Regression
5857. NeurIPS 2023The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only
5858. NeurIPS 2023The Waymo Open Sim Agents Challenge
5859. NeurIPS 2023Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
5860. NeurIPS 2023Time-uniform confidence bands for the CDF under nonstationarity
5861. NeurIPS 2023Toolbox for Multimodal Learn (scikit-multimodallearn)
5862. NeurIPS 2023Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms
5863. NeurIPS 2023Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
5864. NeurIPS 2023Towards Last-layer Retraining for Group Robustness with Fewer Annotations
5865. NeurIPS 2023Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
5866. NeurIPS 2023Tracr: Compiled Transformers as a Laboratory for Interpretability
5867. NeurIPS 2023Transition-constant Normalization for Image Enhancement
5868. NeurIPS 2023Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
5869. NeurIPS 2023Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
5870. NeurIPS 2023Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
5871. NeurIPS 2023Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
5872. NeurIPS 2023Variational Gaussian processes for linear inverse problems
5873. NeurIPS 2023Variational Weighting for Kernel Density Ratios
5874. NeurIPS 2023Versatile Energy-Based Probabilistic Models for High Energy Physics
5875. NeurIPS 2023VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
5876. NeurIPS 2023VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
5877. NeurIPS 2023Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
5878. NeurIPS 2023What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
5879. NeurIPS 2023What Truly Matters in Trajectory Prediction for Autonomous Driving?
5880. NeurIPS 2023Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking
5881. NeurIPS 2023You Only Condense Once: Two Rules for Pruning Condensed Datasets

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.