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

2,111 papers, page 2 of 43

51. NeurIPS 2026Align-RAG: Alignment Is All You Need for TSFM In-Context Learning
52. NeurIPS 2026AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
53. NeurIPS 2026All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping
54. NeurIPS 2026AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization
55. NeurIPS 2026Amortized Guidance for Image Inpainting with Pretrained Diffusion Models
56. NeurIPS 2026An Efficient Algorithm for Thresholding Monte Carlo Tree Search
57. NeurIPS 2026An Information-theoretic Framework for Auditing Unfairness in Training Data
58. NeurIPS 2026AnaDiffusion: Anatomically Compositional Latent Diffusion for Controllable 3D Brain MRI Generation
59. NeurIPS 2026AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization
60. NeurIPS 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
61. NeurIPS 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
62. NeurIPS 2026AppCIF-Bench: An Application-Level Complex Instruction Following Benchmark for Large Language Models
63. NeurIPS 2026Approximate Bayesian inference with exchangeable distributions for neurosymbolic AI
64. NeurIPS 2026Approximate Memory Suffices for Universal Approximation with State Space Models
65. NeurIPS 2026Approximation Algorithms for GPU Pricing under Finite Capacity
66. NeurIPS 2026AptaBench: A Benchmark for Aptamer-Small Molecule Binding
67. NeurIPS 2026AQBENCH: Benchmarking Neural Surrogates for Air Quality Forecasting
68. NeurIPS 2026Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events
69. NeurIPS 2026Argus: A Cross-Regime Benchmark for the Transferability of Uncertainty Quantification in Computer-Use Agents
70. NeurIPS 2026ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
71. NeurIPS 2026ASAP: Assembly-Source Aligned Pseudocode Refinement For Binary Decompilation
72. NeurIPS 2026Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?
73. NeurIPS 2026AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
74. NeurIPS 2026Assistive Dueling Bandits: No-Regret Algorithms for Assisting No-Regret Users
75. NeurIPS 2026ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations
76. NeurIPS 2026ASVQ: What Reparameterization Is Just Enough for Efficient Codebook Learning?
77. NeurIPS 2026Asymmetric Factorization for Low-Rank PSD Learning: When Is the Relaxation Exact ?
78. NeurIPS 2026Asymptotic Anytime-Valid Inference for U-statistics
79. NeurIPS 2026Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means
80. NeurIPS 2026AT-SKM-Net: An Accelerated Trainable Sampling Kaczmarz-Motzkin Framework for Linear Hard-Constraint Feasibility on Dynamic Graphs
81. NeurIPS 2026AtmoZero: Self-Play Post-Training for Caption-Free Weather Time-Series Captioning
82. NeurIPS 2026Attention-based Routing for Interpretable Multimodal Brain Encoding
83. NeurIPS 2026Attention-Based Sampler for Diffusion Language Models
84. NeurIPS 2026Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
85. NeurIPS 2026Attribution-Guided Exit Policy for Reliable Early-Exit Inference
86. NeurIPS 2026Augmented Lagrangian Method for Last-Iterate Convergence for Constrained MDPs
87. NeurIPS 2026Automatically Refining Coding Rules for AI Coding Agents
88. NeurIPS 2026Autoregressive Appearance Prediction for 3D Gaussian Avatars
89. NeurIPS 2026AWP: Activation-based Window Pruning for Gigapixel Object Detection
90. NeurIPS 2026B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses
91. NeurIPS 2026BA-T: An Iterative Transformer for Two-View Bundle Adjustment
92. NeurIPS 2026Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models
93. NeurIPS 2026BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone
94. NeurIPS 2026BalCapRL : A Balanced Framework for RL-Based MLLM Image Captioning
95. NeurIPS 2026BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation
96. NeurIPS 2026BEAKER: An Expert-Curated Benchmark for Embodied Brains in Self-Driving Chemical Laboratories
97. NeurIPS 2026Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback
98. NeurIPS 2026Behavior-Discriminative Reward Shaping for Reward-Robust Reinforcement Learning
99. NeurIPS 2026Behavioral Foundation Models for Quality Diversity
100. NeurIPS 2026Behaviour4All: A Dependency-Aware Toolkit for in-the-wild Facial Behaviour Analysis

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.