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 11 of 27

501. ICLR 2024SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
502. ICLR 2024Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
503. ICLR 2024Small-scale proxies for large-scale Transformer training instabilities
504. ICLR 2024SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
505. ICLR 2024Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
506. ICLR 2024Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
507. ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
508. ICLR 2024Sparse MoE with Language Guided Routing for Multilingual Machine Translation
509. ICLR 2024Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
510. ICLR 2024Sparsistency for inverse optimal transport
511. ICLR 2024Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
512. ICLR 2024SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
513. ICLR 2024Stochastic Controlled Averaging for Federated Learning with Communication Compression
514. ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right
515. ICLR 2024Sufficient conditions for offline reactivation in recurrent neural networks
516. ICLR 2024SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
517. ICLR 2024Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
518. ICLR 2024Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
519. ICLR 2024TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
520. ICLR 2024Test-Time Training on Nearest Neighbors for Large Language Models
521. ICLR 2024Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
522. ICLR 2024The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
523. ICLR 2024The Marginal Value of Momentum for Small Learning Rate SGD
524. ICLR 2024Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
525. ICLR 2024Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
526. ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
527. ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
528. ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
529. ICLR 2024Towards Establishing Guaranteed Error for Learned Database Operations
530. ICLR 2024Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
531. ICLR 2024Trajeglish: Traffic Modeling as Next-Token Prediction
532. ICLR 2024Two-timescale Extragradient for Finding Local Minimax Points
533. ICLR 2024UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving
534. ICLR 2024Unbiased Watermark for Large Language Models
535. ICLR 2024Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
536. ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
537. ICLR 2024Variational Inference for SDEs Driven by Fractional Noise
538. ICLR 2024What does automatic differentiation compute for neural networks?
539. ICLR 2024What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
540. ICLR 2024What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
541. ICML 2024$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
542. ICML 2024$H$-Consistency Guarantees for Regression
543. ICML 2024A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
544. ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
545. ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
546. ICML 2024A fast algorithm to simulate nonlinear resistive networks
547. ICML 2024A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
548. ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
549. ICML 2024A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
550. ICML 2024A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs

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.