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

2,111 papers, page 15 of 43

701. NeurIPS 2026ReFPO: Reflow Regularization for Flow Matching Policy Gradients
702. NeurIPS 2026REGATE: Confidence-Calibrated Integration of Temporally-Aligned Exogenous Texts for Dynamic Graphs
703. NeurIPS 2026RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
704. NeurIPS 2026Regularization Paths for Continuous DAG Learning
705. NeurIPS 2026Rehearsal-Free Statistical Prototype Regularization for Federated Incremental Learning
706. NeurIPS 2026RelAgent: LLM Agents as Data Scientists for Relational Learning
707. NeurIPS 2026Relevance Is Not Necessity: Selecting the Necessary API Set for Tool-Using LLMs
708. NeurIPS 2026RelFlexformer: Efficient Attention Transformers for Integrable Relative Positional Encodings
709. NeurIPS 2026Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
710. NeurIPS 2026ReorgGS: Equivalent Distribution Reorganization for 3D Gaussian Splatting
711. NeurIPS 2026Replicas-as-Variables: A Planner for Throughput-Optimal Routing in LLM Deployment
712. NeurIPS 2026Representation Forcing for Bottleneck-Free Unified Multimodal Models
713. NeurIPS 2026Representation Preconditioning for Efficient Diffusion Model Training
714. NeurIPS 2026ReSCUE: Re-translation with Sentence Commitment for Unsegmented Long-Form Simultaneous Sign Language Translation
715. NeurIPS 2026Resilient Latent Readouts for Long-Context Question Answering
716. NeurIPS 2026ResKV: Residual-based Channel-wise Unstructured Pruning for KV Cache Compression
717. NeurIPS 2026Retain-Neutral Surrogates for Min-Max Unlearning
718. NeurIPS 2026Rethinking Attention in Depth for Operator Learning
719. NeurIPS 2026Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?
720. NeurIPS 2026Rethinking Softmax Attention: Polynomial Activations for Transformers
721. NeurIPS 2026Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction
722. NeurIPS 2026RETR: A Structure-Preserving RGB-Event Transformer for Robust 3D Lane Detection
723. NeurIPS 2026Revisiting Autoregressive GCNs for Vehicle Routing Problems
724. NeurIPS 2026Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios
725. NeurIPS 2026Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction
726. NeurIPS 2026Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
727. NeurIPS 2026Reviving the Discarded High-Resolution Feature for Transformer-Based Tiny Object Detection
728. NeurIPS 2026Reward Inflation: A Healthy Stimulus for Reinforcement Learning
729. NeurIPS 2026Reward Is Not a Universal Interface for Generative Reinforcement Learning
730. NeurIPS 2026Reward-Estimated Hypergradient for Bilevel Reinforcement Learning with Black-Box Follower
731. NeurIPS 2026RGF: Recursive Generative Framework for the Edge-Cut Separable Problems
732. NeurIPS 2026RL Excursions during Pre-training: How early is too early for on-policy learning?
733. NeurIPS 2026RL-Guided Contraction of Symbolic Tensor Networks for Quantum Circuit Equivalence
734. NeurIPS 2026Robust Amortized Simulation-Based Inference via Learned Error Models
735. NeurIPS 2026Robust Approximate Nearest Neighbor Search for Any Dataset
736. NeurIPS 2026Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
737. NeurIPS 2026Robust Offline Reinforcement Learning against Out-of-Distribution Dynamics in Autonomous Driving
738. NeurIPS 2026Robust Residual Correction via Selective Deployment for Time Series Forecasting
739. NeurIPS 2026ROCKET: Rapid Optimization via Calibration-guided Knapsack-Enhanced Truncation for Efficient Model Compression
740. NeurIPS 2026ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
741. NeurIPS 2026RSPO: Reasoning-Supervised Policy Optimization for Long-Tail Autonomous Driving
742. NeurIPS 2026Rubato: Signature Attention for Irregular Multivariate Time Series Forecasting
743. NeurIPS 2026RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
744. NeurIPS 2026S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF
745. NeurIPS 2026SAFE-FEC: Semantically Constrained Adversarial Frontier Evolution for Factual Error Correction
746. NeurIPS 2026SAFE-Hair: Scalp-Anchored Fields for Exportable Single-View Hair Reconstruction
747. NeurIPS 2026SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design
748. NeurIPS 2026Salvation Lies Within: Proactive Prefix Re-forming for LLM-based Tagging
749. NeurIPS 2026Sample Size Design for Bounds on Discrete Probabilities of Causation
750. NeurIPS 2026SAVE: Sparsity-Aware Influence Estimation for Vocabulary-Expanded LLMs

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.