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

176 papers, page 2 of 4

51. ICLR 2024Expressive Losses for Verified Robustness via Convex Combinations
52. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
53. ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
54. ICLR 2024FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
55. ICLR 2024Fine-Tuning Language Models for Factuality
56. ICLR 2024Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
57. ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
58. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
59. ICLR 2024Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
60. ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
61. ICLR 2024GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
62. ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
63. ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
64. ICLR 2024Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
65. ICLR 2024How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
66. ICLR 2024How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
67. ICLR 2024Identifying Representations for Intervention Extrapolation
68. ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
69. ICLR 2024Improved Techniques for Training Consistency Models
70. ICLR 2024In defense of parameter sharing for model-compression
71. ICLR 2024Input-gradient space particle inference for neural network ensembles
72. ICLR 2024Intelligent Switching for Reset-Free RL
73. ICLR 2024Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
74. ICLR 2024Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
75. ICLR 2024Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
76. ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
77. ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
78. ICLR 2024Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
79. ICLR 2024Large Language Models as Generalizable Policies for Embodied Tasks
80. ICLR 2024Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
81. ICLR 2024Learning Energy Decompositions for Partial Inference in GFlowNets
82. ICLR 2024Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
83. ICLR 2024Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
84. ICLR 2024Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
85. ICLR 2024Learning with Mixture of Prototypes for Out-of-Distribution Detection
86. ICLR 2024Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
87. ICLR 2024Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
88. ICLR 2024Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
89. ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
90. ICLR 2024Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
91. ICLR 2024LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
92. ICLR 2024Masked Structural Growth for 2x Faster Language Model Pre-training
93. ICLR 2024Massive Editing for Large Language Models via Meta Learning
94. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
95. ICLR 2024Memory-Consistent Neural Networks for Imitation Learning
96. ICLR 2024Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
97. ICLR 2024Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
98. ICLR 2024Most discriminative stimuli for functional cell type clustering
99. ICLR 2024Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
100. ICLR 2024Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

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.