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

969 papers, page 19 of 20

901. NeurIPS 2023Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee
902. NeurIPS 2023Personalized Dictionary Learning for Heterogeneous Datasets
903. NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
904. NeurIPS 2023PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
905. NeurIPS 2023Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
906. NeurIPS 2023Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
907. NeurIPS 2023Principled Weight Initialisation for Input-Convex Neural Networks
908. NeurIPS 2023PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
909. NeurIPS 2023Proximity-Informed Calibration for Deep Neural Networks
910. NeurIPS 2023Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
911. NeurIPS 2023R-divergence for Estimating Model-oriented Distribution Discrepancy
912. NeurIPS 2023Random Cuts are Optimal for Explainable k-Medians
913. NeurIPS 2023RD-Suite: A Benchmark for Ranking Distillation
914. NeurIPS 2023Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
915. NeurIPS 2023Renku: a platform for sustainable data science
916. NeurIPS 2023Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
917. NeurIPS 2023Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
918. NeurIPS 2023Reward Imputation with Sketching for Contextual Batched Bandits
919. NeurIPS 2023Robust Mean Estimation Without Moments for Symmetric Distributions
920. NeurIPS 2023RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
921. NeurIPS 2023SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery
922. NeurIPS 2023ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
923. NeurIPS 2023Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
924. NeurIPS 2023Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
925. NeurIPS 2023Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
926. NeurIPS 2023SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
927. NeurIPS 2023Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks
928. NeurIPS 2023SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
929. NeurIPS 2023SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
930. NeurIPS 2023SQ Lower Bounds for Learning Mixtures of Linear Classifiers
931. NeurIPS 2023SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
932. NeurIPS 2023Stability Guarantees for Feature Attributions with Multiplicative Smoothing
933. NeurIPS 2023Statistical Knowledge Assessment for Large Language Models
934. NeurIPS 2023Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths
935. NeurIPS 2023Streaming PCA for Markovian Data
936. NeurIPS 2023StressID: a Multimodal Dataset for Stress Identification
937. NeurIPS 2023Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
938. NeurIPS 2023SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration
939. NeurIPS 2023Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
940. NeurIPS 2023SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
941. NeurIPS 2023Swarm Reinforcement Learning for Adaptive Mesh Refinement
942. NeurIPS 2023Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
943. NeurIPS 2023The Cambridge Law Corpus: A Dataset for Legal AI Research
944. NeurIPS 2023The Exact Sample Complexity Gain from Invariances for Kernel Regression
945. NeurIPS 2023The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only
946. NeurIPS 2023The Waymo Open Sim Agents Challenge
947. NeurIPS 2023Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
948. NeurIPS 2023Time-uniform confidence bands for the CDF under nonstationarity
949. NeurIPS 2023Toolbox for Multimodal Learn (scikit-multimodallearn)
950. NeurIPS 2023Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms

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.