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 10 of 43

451. NeurIPS 2026KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
452. NeurIPS 2026KVFocus: A Perturbation-Theoretic Token-Risk Score for Selective KV Cache Reuse in RAG
453. NeurIPS 2026L$^2$EAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
454. NeurIPS 2026Label-Free Consistency Correction for Weak-to-Strong Generalization
455. NeurIPS 2026LACE: Lattice Attention for Cross-thread Exploration
456. NeurIPS 2026LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
457. NeurIPS 2026LAPrune: Logits-Aligned Scoring Proxy for KV Pruning via Vector Quantization
458. NeurIPS 2026Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems
459. NeurIPS 2026Latent Debate: A Surrogate Framework for Interpreting LLM Thinking towards Binary Decisions
460. NeurIPS 2026Latent Generative Solvers for Generalizable Long-Term Physics Simulation
461. NeurIPS 2026LAtte: Hyperbolic Lorentz Attention for Joint-Subject EEG Classification
462. NeurIPS 2026Layer Precision Reduction for Deep Anomaly Detection
463. NeurIPS 2026Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks
464. NeurIPS 2026LEAP: Library-driven Evolutionary Abstraction Paradigm for Large Language Models
465. NeurIPS 2026Learnable Low-Rank Polynomial Sketch for Effective Linear Attention
466. NeurIPS 2026Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting
467. NeurIPS 2026Learning Cost-Efficient Autoscaling for Latency-Constrained Disaggregated LLM Serving
468. NeurIPS 2026Learning Digital Twins under Drift: Optimal Tracking Rates for Non-Stationary Dynamical Systems
469. NeurIPS 2026Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation
470. NeurIPS 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language Models
471. NeurIPS 2026Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers
472. NeurIPS 2026Learning Menu-Based Mechanisms for Truthful Budget-Feasible Procurement
473. NeurIPS 2026Learning Options for Compositional Motor Control with Adapter Banks
474. NeurIPS 2026Learning Orthonormal Bases for Function Spaces
475. NeurIPS 2026Learning Process Rewards via Visitation Matching for Efficient RL
476. NeurIPS 2026Learning Provable Neural Network Observer for Uncertain Dynamical Systems
477. NeurIPS 2026Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
478. NeurIPS 2026Learning Rate Transfer for Hybrid Transformer-SSM Architectures
479. NeurIPS 2026Learning Sparse Semantic-Cortical Atoms for Multisubject Naturalistic fMRI Encoding
480. NeurIPS 2026Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting
481. NeurIPS 2026Learning the Committor Function using Weighted Ensemble Simulations
482. NeurIPS 2026Learning to Cut: Reinforcement Learning for Benders Decomposition
483. NeurIPS 2026Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
484. NeurIPS 2026Learning to Search, Searching to Learn: A Closed-Loop Framework for Large-Scale Vehicle Routing
485. NeurIPS 2026Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion
486. NeurIPS 2026Learning When Visual Context Matters for Mouse Behavior Analysis
487. NeurIPS 2026Learning with Enumeration: Neural-Guided SAT Framework for Cryptographic Key Recovery
488. NeurIPS 2026Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
489. NeurIPS 2026Ledger: A Path-Validated, Database-Grounded Benchmark for Enterprise Web Agents
490. NeurIPS 2026Leech Lattice Vector Quantization for Efficient LLM Compression
491. NeurIPS 2026LEIA: Learned Environment for Interactive Architected Materials
492. NeurIPS 2026Leveraging unlabelled data for generalizable neural population decoding
493. NeurIPS 2026Liars' Bench: Evaluating Lie Detectors for Language Models
494. NeurIPS 2026Lie Generator Networks for Nonlinear Partial Differential Equations
495. NeurIPS 2026LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
496. NeurIPS 2026LinuxArena: A Control Setting for AI Agents in Live Production Software Environments
497. NeurIPS 2026LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation
498. NeurIPS 2026LLM Flow Processes for Text-Conditioned Regression
499. NeurIPS 2026LLM-ACES: Closed-Loop Discovery of Dynamic Systems with LLM-Guided Adaptive Search
500. NeurIPS 2026LLM-Enhanced Random Forests in Orthogonal Hyperbolic Subspaces for Tabular Learning

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.