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

228 papers, page 2 of 5

51. ICLR 2025DataMan: Data Manager for Pre-training Large Language Models
52. ICLR 2025Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
53. ICLR 2025Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
54. ICLR 2025Deep Linear Probe Generators for Weight Space Learning
55. ICLR 2025Deep Random Features for Scalable Interpolation of Spatiotemporal Data
56. ICLR 2025DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
57. ICLR 2025Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
58. ICLR 2025Differentially private learners for heterogeneous treatment effects
59. ICLR 2025DiffPuter: Empowering Diffusion Models for Missing Data Imputation
60. ICLR 2025Diffusion State-Guided Projected Gradient for Inverse Problems
61. ICLR 2025Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
62. ICLR 2025DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
63. ICLR 2025DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
64. ICLR 2025Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
65. ICLR 2025Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
66. ICLR 2025Distribution-Free Data Uncertainty for Neural Network Regression
67. ICLR 2025DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
68. ICLR 2025DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
69. ICLR 2025DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
70. ICLR 2025ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
71. ICLR 2025EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
72. ICLR 2025Equivariant Neural Functional Networks for Transformers
73. ICLR 2025Error-quantified Conformal Inference for Time Series
74. ICLR 2025Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm
75. ICLR 2025Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
76. ICLR 2025Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics
77. ICLR 2025Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
78. ICLR 2025FIG: Flow with Interpolant Guidance for Linear Inverse Problems
79. ICLR 2025Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
80. ICLR 2025From Commands to Prompts: LLM-based Semantic File System for AIOS
81. ICLR 2025Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
82. ICLR 2025Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
83. ICLR 2025Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
84. ICLR 2025Glad: A Streaming Scene Generator for Autonomous Driving
85. ICLR 2025GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
86. ICLR 2025Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
87. ICLR 2025Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
88. ICLR 2025Hidden in the Noise: Two-Stage Robust Watermarking for Images
89. ICLR 2025Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs
90. ICLR 2025HOPE for a Robust Parameterization of Long-memory State Space Models
91. ICLR 2025How Gradient descent balances features: A dynamical analysis for two-layer neural networks
92. ICLR 2025How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
93. ICLR 2025Hymba: A Hybrid-head Architecture for Small Language Models
94. ICLR 2025Identifiability for Gaussian Processes with Holomorphic Kernels
95. ICLR 2025Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions
96. ICLR 2025Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension
97. ICLR 2025Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
98. ICLR 2025Improved Training Technique for Latent Consistency Models
99. ICLR 2025ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences
100. ICLR 2025Indirect Gradient Matching for Adversarial Robust 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.