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

1,308 papers, page 9 of 27

401. ICLR 2024Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
402. ICLR 2024Delta-AI: Local objectives for amortized inference in sparse graphical models
403. ICLR 2024Differentiable Euler Characteristic Transforms for Shape Classification
404. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
405. ICLR 2024DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
406. ICLR 2024Diffusion Model for Dense Matching
407. ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
408. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
409. ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
410. ICLR 2024EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
411. ICLR 2024Empirical Likelihood for Fair Classification
412. ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
413. ICLR 2024EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
414. ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection
415. ICLR 2024Expressive Losses for Verified Robustness via Convex Combinations
416. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
417. ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
418. ICLR 2024FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
419. ICLR 2024Fine-Tuning Language Models for Factuality
420. ICLR 2024Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
421. ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
422. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
423. ICLR 2024Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
424. ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
425. ICLR 2024GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
426. ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
427. ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
428. ICLR 2024Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
429. ICLR 2024How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
430. ICLR 2024How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
431. ICLR 2024Identifying Representations for Intervention Extrapolation
432. ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
433. ICLR 2024Improved Techniques for Training Consistency Models
434. ICLR 2024In defense of parameter sharing for model-compression
435. ICLR 2024Input-gradient space particle inference for neural network ensembles
436. ICLR 2024Intelligent Switching for Reset-Free RL
437. ICLR 2024Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
438. ICLR 2024Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
439. ICLR 2024Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
440. ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
441. ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
442. ICLR 2024Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
443. ICLR 2024Large Language Models as Generalizable Policies for Embodied Tasks
444. ICLR 2024Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
445. ICLR 2024Learning Energy Decompositions for Partial Inference in GFlowNets
446. ICLR 2024Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
447. ICLR 2024Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
448. ICLR 2024Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
449. ICLR 2024Learning with Mixture of Prototypes for Out-of-Distribution Detection
450. ICLR 2024Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation

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.