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

219 papers, page 2 of 5

51. NeurIPS 2023Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
52. NeurIPS 2023DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
53. NeurIPS 2023Depth-discriminative Metric Learning for Monocular 3D Object Detection
54. NeurIPS 2023DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
55. NeurIPS 2023Diffusion Representation for Asymmetric Kernels via Magnetic Transform
56. NeurIPS 2023DISCS: A Benchmark for Discrete Sampling
57. NeurIPS 2023Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
58. NeurIPS 2023DynaDojo: An Extensible Benchmarking Platform for Scalable Dynamical System Identification
59. NeurIPS 2023Dynamically Masked Discriminator for GANs
60. NeurIPS 2023DynPoint: Dynamic Neural Point For View Synthesis
61. NeurIPS 2023Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
62. NeurIPS 2023Efficient Subgame Refinement for Extensive-form Games
63. NeurIPS 2023Energy-based learning algorithms for analog computing: a comparative study
64. NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
65. NeurIPS 2023Entropy-based Training Methods for Scalable Neural Implicit Samplers
66. NeurIPS 2023Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
67. NeurIPS 2023Error Bounds for Learning with Vector-Valued Random Features
68. NeurIPS 2023ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
69. NeurIPS 2023Experimental Designs for Heteroskedastic Variance
70. NeurIPS 2023Expressivity-Preserving GNN Simulation
71. NeurIPS 2023False Discovery Proportion control for aggregated Knockoffs
72. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
73. NeurIPS 2023Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
74. NeurIPS 2023Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
75. NeurIPS 2023Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
76. NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
77. NeurIPS 2023Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
78. NeurIPS 2023Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
79. NeurIPS 2023Flow Matching for Scalable Simulation-Based Inference
80. NeurIPS 2023Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
81. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
82. NeurIPS 2023Focused Transformer: Contrastive Training for Context Scaling
83. NeurIPS 2023Formalizing locality for normative synaptic plasticity models
84. NeurIPS 2023Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
85. NeurIPS 2023Generalized Weighted Path Consistency for Mastering Atari Games
86. NeurIPS 2023GEX: A flexible method for approximating influence via Geometric Ensemble
87. NeurIPS 2023Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
88. NeurIPS 2023Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
89. NeurIPS 2023GPEX, A Framework For Interpreting Artificial Neural Networks
90. NeurIPS 2023Greedy Poisson Rejection Sampling
91. NeurIPS 2023Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
92. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
93. NeurIPS 2023HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
94. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
95. NeurIPS 2023HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
96. NeurIPS 2023Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
97. NeurIPS 2023IEBins: Iterative Elastic Bins for Monocular Depth Estimation
98. NeurIPS 2023Implicit Convolutional Kernels for Steerable CNNs
99. NeurIPS 2023Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
100. NeurIPS 2023InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion

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.