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 15 of 20

701. ICML 2023Regret-Minimizing Double Oracle for Extensive-Form Games
702. ICML 2023Reprogramming Pretrained Language Models for Antibody Sequence Infilling
703. ICML 2023Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
704. ICML 2023Resurrecting Recurrent Neural Networks for Long Sequences
705. ICML 2023Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization
706. ICML 2023Revisiting Bellman Errors for Offline Model Selection
707. ICML 2023Revisiting Simple Regret: Fast Rates for Returning a Good Arm
708. ICML 2023RGE: A Repulsive Graph Rectification for Node Classification via Influence
709. ICML 2023Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
710. ICML 2023Scaling Laws for Reward Model Overoptimization
711. ICML 2023Scaling of Class-wise Training Losses for Post-hoc Calibration
712. ICML 2023SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
713. ICML 2023Sequential Predictive Conformal Inference for Time Series
714. ICML 2023Sequential Underspecified Instrument Selection for Cause-Effect Estimation
715. ICML 2023Set-membership Belief State-based Reinforcement Learning for POMDPs
716. ICML 2023Shapley Based Residual Decomposition for Instance Analysis
717. ICML 2023Sharper Bounds for $\ell_p$ Sensitivity Sampling
718. ICML 2023Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
719. ICML 2023Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
720. ICML 2023SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
721. ICML 2023Smart Initial Basis Selection for Linear Programs
722. ICML 2023SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
723. ICML 2023Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
724. ICML 2023STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
725. ICML 2023Stochastic Gradient Succeeds for Bandits
726. ICML 2023Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
727. ICML 2023Synthetic data for model selection
728. ICML 2023Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
729. ICML 2023Temporal Label Smoothing for Early Event Prediction
730. ICML 2023The Benefits of Mixup for Feature Learning
731. ICML 2023The case for 4-bit precision: k-bit Inference Scaling Laws
732. ICML 2023The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data
733. ICML 2023The Power of Uniform Sampling for k-Median
734. ICML 2023The Test of Tests: A Framework for Differentially Private Hypothesis Testing
735. ICML 2023The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
736. ICML 2023Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits
737. ICML 2023Tight Data Access Bounds for Private Top-$k$ Selection
738. ICML 2023Tighter Analysis for ProxSkip
739. ICML 2023TIPS: Topologically Important Path Sampling for Anytime Neural Networks
740. ICML 2023Towards Constituting Mathematical Structures for Learning to Optimize
741. ICML 2023Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
742. ICML 2023Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
743. ICML 2023Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving
744. ICML 2023Transformed Distribution Matching for Missing Value Imputation
745. ICML 2023Traversing Between Modes in Function Space for Fast Ensembling
746. ICML 2023Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
747. ICML 2023Weighted Sampling without Replacement for Deep Top-$k$ Classification
748. ICML 2023What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
749. ICML 2023Which Tricks are Important for Learning to Rank?
750. ICML 2023Who Needs to Know? Minimal Knowledge for Optimal Coordination

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.