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 14 of 20

651. ICML 2023MyoDex: A Generalizable Prior for Dexterous Manipulation
652. ICML 2023Near-Optimal Quantum Coreset Construction Algorithms for Clustering
653. ICML 2023Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
654. ICML 2023Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
655. ICML 2023Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
656. ICML 2023Neural Inverse Operators for Solving PDE Inverse Problems
657. ICML 2023Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
658. ICML 2023NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
659. ICML 2023Nonparametric Extensions of Randomized Response for Private Confidence Sets
660. ICML 2023Normalizing Flows for Interventional Density Estimation
661. ICML 2023OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
662. ICML 2023On Coresets for Clustering in Small Dimensional Euclidean spaces
663. ICML 2023On Kinetic Optimal Probability Paths for Generative Models
664. ICML 2023On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
665. ICML 2023On Provable Copyright Protection for Generative Models
666. ICML 2023On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
667. ICML 2023On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
668. ICML 2023One-Step Estimator for Permuted Sparse Recovery
669. ICML 2023Optimal Convergence Rates for Agnostic Nyström Kernel Learning
670. ICML 2023Optimal No-Regret Learning for One-Sided Lipschitz Functions
671. ICML 2023Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
672. ICML 2023Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
673. ICML 2023Optimizing Mode Connectivity for Class Incremental Learning
674. ICML 2023Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
675. ICML 2023Parameter-Level Soft-Masking for Continual Learning
676. ICML 2023Patch-level Contrastive Learning via Positional Query for Visual Pre-training
677. ICML 2023Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
678. ICML 2023Phase-aware Adversarial Defense for Improving Adversarial Robustness
679. ICML 2023Polynomial Preconditioning for Gradient Methods
680. ICML 2023Predictable MDP Abstraction for Unsupervised Model-Based RL
681. ICML 2023Predictive Flows for Faster Ford-Fulkerson
682. ICML 2023Probabilistic Attention-to-Influence Neural Models for Event Sequences
683. ICML 2023Progressive Purification for Instance-Dependent Partial Label Learning
684. ICML 2023Projected Tensor Power Method for Hypergraph Community Recovery
685. ICML 2023Prompting Large Language Model for Machine Translation: A Case Study
686. ICML 2023Proper Losses for Discrete Generative Models
687. ICML 2023Proper Scoring Rules for Survival Analysis
688. ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
689. ICML 2023Provable Benefit of Mixup for Finding Optimal Decision Boundaries
690. ICML 2023Provable Data Subset Selection For Efficient Neural Networks Training
691. ICML 2023PWSHAP: A Path-Wise Explanation Model for Targeted Variables
692. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
693. ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
694. ICML 2023Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
695. ICML 2023Randomized Schur Complement Views for Graph Contrastive Learning
696. ICML 2023Reconstructive Neuron Pruning for Backdoor Defense
697. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
698. ICML 2023Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
699. ICML 2023Refined Regret for Adversarial MDPs with Linear Function Approximation
700. ICML 2023Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents

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.