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

5,881 papers, page 17 of 118

801. ICLR 2026Policy Contrastive Decoding for Robotic Foundation Models
802. ICLR 2026Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation
803. ICLR 2026Post-training Large Language Models for Diverse High-Quality Responses
804. ICLR 2026Post-Training Quantization for Video Matting
805. ICLR 2026Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
806. ICLR 2026Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
807. ICLR 2026PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
808. ICLR 2026PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity
809. ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
810. ICLR 2026Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models
811. ICLR 2026PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging
812. ICLR 2026Quantitative Bounds for Length Generalization in Transformers
813. ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
814. ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
815. ICLR 2026Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
816. ICLR 2026Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning
817. ICLR 2026RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model
818. ICLR 2026RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks
819. ICLR 2026Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
820. ICLR 2026Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields
821. ICLR 2026Reformulation for Pretraining Data Augmentation
822. ICLR 2026Relational Feature Caching for Accelerating Diffusion Transformers
823. ICLR 2026RepSpec: Structural Re-parameterized Draft Model Training for Speculative Decoding
824. ICLR 2026ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
825. ICLR 2026Rethinking Code Similarity for Automated Algorithm Design with LLMs
826. ICLR 2026Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
827. ICLR 2026Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning
828. ICLR 2026S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
829. ICLR 2026S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
830. ICLR 2026SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
831. ICLR 2026Samples Are Not Equal: A Sample Selection Approach for Deep Clustering
832. ICLR 2026Scaling Laws for Diffusion Transformers
833. ICLR 2026Searching for Privacy Risks in LLM Agents via Simulation
834. ICLR 2026Selective Data Removal for Distributional Machine Unlearning
835. ICLR 2026SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
836. ICLR 2026SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
837. ICLR 2026ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code
838. ICLR 2026Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
839. ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
840. ICLR 2026SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
841. ICLR 2026SkyEvents: A Large-Scale Event-enhanced UAV Dataset for Robust 3D Scene Reconstruction
842. ICLR 2026SliderQuant: Accurate Post-Training Quantization for LLMs
843. ICLR 2026SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
844. ICLR 2026SparseD: Sparse Attention for Diffusion Language Models
845. ICLR 2026Spatially Informed Autoencoders for Interpretable Visual Representation Learning
846. ICLR 2026Spectral Attention Steering for Prompt Highlighting
847. ICLR 2026Speculative Actions: A Lossless Framework for Faster AI Agents
848. ICLR 2026Spike-based Digital Brain: a novel fundamental model for brain activity analysis
849. ICLR 2026Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
850. ICLR 2026SRT: Super-Resolution for Time Series via Disentangled Rectified Flow

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.