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

2,199 papers, page 35 of 44

1701. NeurIPS 2026JODA: Composable Joint Dynamics for Articulated Objects
1702. NeurIPS 2026Joint Certification for Attributed Graphs: Beyond Topology-Only Robustness
1703. NeurIPS 2026Joint Sequence--Vocabulary Selection for Efficient LLM Distillation
1704. NeurIPS 2026Just Ramp-Up: Debiasing Regression-based Estimator for A/B Tests under Network Interference
1705. NeurIPS 2026KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
1706. NeurIPS 2026Kernel Selection is Model Selection: A Unified Complexity-Penalised Approach for MMD Two-Sample Tests
1707. NeurIPS 2026KINDER: Kernel-based Independence for Fair Representation Learning via Prototype-space Erasure
1708. NeurIPS 2026KL for a KL: On-Policy Distillation with Control Variate Baseline
1709. NeurIPS 2026Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
1710. NeurIPS 2026KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
1711. NeurIPS 2026KVFocus: A Perturbation-Theoretic Token-Risk Score for Selective KV Cache Reuse in RAG
1712. NeurIPS 2026L$^2$EAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
1713. NeurIPS 2026Label-Free Consistency Correction for Weak-to-Strong Generalization
1714. NeurIPS 2026LACE: Lattice Attention for Cross-thread Exploration
1715. NeurIPS 2026LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
1716. NeurIPS 2026LAPrune: Logits-Aligned Scoring Proxy for KV Pruning via Vector Quantization
1717. NeurIPS 2026Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems
1718. NeurIPS 2026Latent Debate: A Surrogate Framework for Interpreting LLM Thinking towards Binary Decisions
1719. NeurIPS 2026Latent Generative Solvers for Generalizable Long-Term Physics Simulation
1720. NeurIPS 2026LAtte: Hyperbolic Lorentz Attention for Joint-Subject EEG Classification
1721. NeurIPS 2026Layer Precision Reduction for Deep Anomaly Detection
1722. NeurIPS 2026Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks
1723. NeurIPS 2026LEAP: Library-driven Evolutionary Abstraction Paradigm for Large Language Models
1724. NeurIPS 2026Learnable Low-Rank Polynomial Sketch for Effective Linear Attention
1725. NeurIPS 2026Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting
1726. NeurIPS 2026Learning Cost-Efficient Autoscaling for Latency-Constrained Disaggregated LLM Serving
1727. NeurIPS 2026Learning Digital Twins under Drift: Optimal Tracking Rates for Non-Stationary Dynamical Systems
1728. NeurIPS 2026Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation
1729. NeurIPS 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language Models
1730. NeurIPS 2026Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers
1731. NeurIPS 2026Learning Menu-Based Mechanisms for Truthful Budget-Feasible Procurement
1732. NeurIPS 2026Learning Options for Compositional Motor Control with Adapter Banks
1733. NeurIPS 2026Learning Orthonormal Bases for Function Spaces
1734. NeurIPS 2026Learning Process Rewards via Visitation Matching for Efficient RL
1735. NeurIPS 2026Learning Provable Neural Network Observer for Uncertain Dynamical Systems
1736. NeurIPS 2026Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
1737. NeurIPS 2026Learning Rate Transfer for Hybrid Transformer-SSM Architectures
1738. NeurIPS 2026Learning Sparse Semantic-Cortical Atoms for Multisubject Naturalistic fMRI Encoding
1739. NeurIPS 2026Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting
1740. NeurIPS 2026Learning the Committor Function using Weighted Ensemble Simulations
1741. NeurIPS 2026Learning to Cut: Reinforcement Learning for Benders Decomposition
1742. NeurIPS 2026Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
1743. NeurIPS 2026Learning to Search, Searching to Learn: A Closed-Loop Framework for Large-Scale Vehicle Routing
1744. NeurIPS 2026Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion
1745. NeurIPS 2026Learning When Visual Context Matters for Mouse Behavior Analysis
1746. NeurIPS 2026Learning with Enumeration: Neural-Guided SAT Framework for Cryptographic Key Recovery
1747. NeurIPS 2026Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
1748. NeurIPS 2026Ledger: A Path-Validated, Database-Grounded Benchmark for Enterprise Web Agents
1749. NeurIPS 2026Leech Lattice Vector Quantization for Efficient LLM Compression
1750. NeurIPS 2026LEIA: Learned Environment for Interactive Architected Materials

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.