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

1,214 papers, page 18 of 25

851. ICML 2024Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
852. ICML 2024Neural Tangent Kernels for Axis-Aligned Tree Ensembles
853. ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
854. ICML 2024New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
855. ICML 2024No Dimensional Sampling Coresets for Classification
856. ICML 2024No Double Descent in Principal Component Regression: A High-Dimensional Analysis
857. ICML 2024Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
858. ICML 2024Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
859. ICML 2024Non-Vacuous Generalization Bounds for Large Language Models
860. ICML 2024Novel Spectral Algorithms for the Partial Credit Model
861. ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
862. ICML 2024On Convergence of Incremental Gradient for Non-convex Smooth Functions
863. ICML 2024On dimensionality of feature vectors in MPNNs
864. ICML 2024On Prompt-Driven Safeguarding for Large Language Models
865. ICML 2024On the Diminishing Returns of Width for Continual Learning
866. ICML 2024On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
867. ICML 2024On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
868. ICML 2024On Universally Optimal Algorithms for A/B Testing
869. ICML 2024One Meta-tuned Transformer is What You Need for Few-shot Learning
870. ICML 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
871. ICML 2024Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
872. ICML 2024Optimal Coresets for Low-Dimensional Geometric Median
873. ICML 2024Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
874. ICML 2024Optimal Ridge Regularization for Out-of-Distribution Prediction
875. ICML 2024Optimal Transport for Structure Learning Under Missing Data
876. ICML 2024Optimizing Watermarks for Large Language Models
877. ICML 2024Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
878. ICML 2024Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
879. ICML 2024Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
880. ICML 2024Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
881. ICML 2024Parallelized Spatiotemporal Slot Binding for Videos
882. ICML 2024Parameterized Physics-informed Neural Networks for Parameterized PDEs
883. ICML 2024Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard Problems
884. ICML 2024Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
885. ICML 2024PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
886. ICML 2024Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
887. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
888. ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
889. ICML 2024Polynomial-based Self-Attention for Table Representation Learning
890. ICML 2024Position: A Call for Embodied AI
891. ICML 2024Position: Building Guardrails for Large Language Models Requires Systematic Design
892. ICML 2024Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
893. ICML 2024Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
894. ICML 2024Position: Intent-aligned AI Systems Must Optimize for Agency Preservation
895. ICML 2024Position: Is machine learning good or bad for the natural sciences?
896. ICML 2024Position: Levels of AGI for Operationalizing Progress on the Path to AGI
897. ICML 2024Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
898. ICML 2024Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy
899. ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
900. ICML 2024Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation

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.