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

542 papers, page 7 of 11

301. NeurIPS 2025MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
302. NeurIPS 2025Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach
303. NeurIPS 2025Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
304. NeurIPS 2025Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training
305. NeurIPS 2025Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
306. NeurIPS 2025ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
307. NeurIPS 2025MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding
308. NeurIPS 2025Model Provenance Testing for Large Language Models
309. NeurIPS 2025Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving
310. NeurIPS 2025ModHiFi: Identifying High Fidelity predictive components for Model Modification
311. NeurIPS 2025Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
312. NeurIPS 2025Multilevel neural simulation-based inference
313. NeurIPS 2025MultiScale Contextual Bandits for Long Term Objectives
314. NeurIPS 2025MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
315. NeurIPS 2025MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference
316. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
317. NeurIPS 2025NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
318. NeurIPS 2025Natural Gradient VI: Guarantees for Non-Conjugate Models
319. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
320. NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
321. NeurIPS 2025Near-Optimal Sample Complexity for Online Constrained MDPs
322. NeurIPS 2025NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
323. NeurIPS 2025Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
324. NeurIPS 2025NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs
325. NeurIPS 2025Network two-sample test for block models
326. NeurIPS 2025Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
327. NeurIPS 2025Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
328. NeurIPS 2025Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
329. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
330. NeurIPS 2025Neural Green’s Functions
331. NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
332. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
333. NeurIPS 2025NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting
334. NeurIPS 2025Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls
335. NeurIPS 2025Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
336. NeurIPS 2025Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
337. NeurIPS 2025Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
338. NeurIPS 2025Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
339. NeurIPS 2025Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models
340. NeurIPS 2025NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes
341. NeurIPS 2025NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
342. NeurIPS 2025Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
343. NeurIPS 2025OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
344. NeurIPS 2025Offline Actor-Critic for Average Reward MDPs
345. NeurIPS 2025On Evaluating Policies for Robust POMDPs
346. NeurIPS 2025On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
347. NeurIPS 2025On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
348. NeurIPS 2025On the Robustness of Transformers against Context Hijacking for Linear Classification
349. NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
350. NeurIPS 2025On topological descriptors for graph products

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.