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

1,405 papers, page 14 of 29

651. ICML 2025Deep Bayesian Filter for Bayes-Faithful Data Assimilation
652. ICML 2025Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
653. ICML 2025Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph
654. ICML 2025Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
655. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
656. ICML 2025DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control
657. ICML 2025DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
658. ICML 2025Differential Coding for Training-Free ANN-to-SNN Conversion
659. ICML 2025Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights
660. ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
661. ICML 2025Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials
662. ICML 2025Doubly Robust Fusion of Many Treatments for Policy Learning
663. ICML 2025DriveGPT: Scaling Autoregressive Behavior Models for Driving
664. ICML 2025Efficient Diffusion Models for Symmetric Manifolds
665. ICML 2025ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
666. ICML 2025Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
667. ICML 2025EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
668. ICML 2025EPIC: Efficient Position-Independent Caching for Serving Large Language Models
669. ICML 2025EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
670. ICML 2025Exogenous Isomorphism for Counterfactual Identifiability
671. ICML 2025Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
672. ICML 2025Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
673. ICML 2025Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
674. ICML 2025Faster Approximation Algorithms for k-Center via Data Reduction
675. ICML 2025Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
676. ICML 2025Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
677. ICML 2025FlatQuant: Flatness Matters for LLM Quantization
678. ICML 2025Flexible Tails for Normalizing Flows
679. ICML 2025Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
680. ICML 2025Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
681. ICML 2025Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
682. ICML 2025From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
683. ICML 2025GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models
684. ICML 2025Gap-Dependent Bounds for Federated $Q$-Learning
685. ICML 2025GaussMark: A Practical Approach for Structural Watermarking of Language Models
686. ICML 2025Generalization Analysis for Controllable Learning
687. ICML 2025Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data
688. ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
689. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
690. ICML 2025GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
691. ICML 2025GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
692. ICML 2025Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
693. ICML 2025Gradient-based Explanations for Deep Learning Survival Models
694. ICML 2025Gridded Transformer Neural Processes for Spatio-Temporal Data
695. ICML 2025Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions
696. ICML 2025Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference
697. ICML 2025HashAttention: Semantic Sparsity for Faster Inference
698. ICML 2025Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
699. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
700. ICML 2025High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions

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.