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

363 papers, page 2 of 8

51. ICML 2026Beyond the Bellman Recursion: A Pontryagin-Guided Framework for Non-Exponential Discounting
52. ICML 2026Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
53. ICML 2026Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data
54. ICML 2026BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
55. ICML 2026Block Rotation is All You Need for MXFP4 Quantization
56. ICML 2026Bottleneck-Guided Spectral Subgoals For Offline Goal-Conditioned RL
57. ICML 2026BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
58. ICML 2026Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
59. ICML 2026Bridging Local–Global Dissonance: Learning from Compressive Measurements for Hyperspectral Reconstruction
60. ICML 2026Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions
61. ICML 2026Butterworth as Attention: Anisotropic Spectral Gating for Pansharpening
62. ICML 2026CARE: Adaptive Calibration for Reliable Recommendations
63. ICML 2026CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
64. ICML 2026Causal Structure Learning for Sparse Matrix Fill-in Reduction
65. ICML 2026CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception
66. ICML 2026CGRiC: Compositional Risk Certification for Structured LLM Outputs
67. ICML 2026CGSVD: Cascaded Granular Singular Value Decomposition for Large Language Model Compression
68. ICML 2026Chiral Symmetry Breaking in Transformers: A Group-Equivariant Framework for Addressing the Reversal Curse via Adjoint Manifold Mappings
69. ICML 2026CircuitPrint: Mechanistic Circuit Fingerprints for Large Language Models
70. ICML 2026Class-Conditional Distribution Balancing for Group Robust Classification
71. ICML 2026Class-Prior Perturbation-Robust Regularization for Imbalanced Unreliable Partial Label Learning
72. ICML 2026CLINIC : Evaluating Multilingual Trustworthiness in Language Models for Healthcare
73. ICML 2026Collapsed Effective Operators for Higher-order Structures
74. ICML 2026Column Thresholding for Sparse Spiked Wigner Models: Improved Signal Strength Requirements
75. ICML 2026Complexity Bounds for Dirichlet Process Slice Samplers
76. ICML 2026Component-Wise Composite Likelihood Distillation for Censored Time-to-Event Data
77. ICML 2026Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning
78. ICML 2026Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
79. ICML 2026Compressed Sensing for Capability Localization in Large Language Models
80. ICML 2026Conformal C2ST: Turning weak classifiers into strong two-sample tests
81. ICML 2026ConFu: Contemplate the Future for Better Speculative Sampling
82. ICML 2026Conservation Laws for Modern Neural Architectures
83. ICML 2026CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware Virtualization
84. ICML 2026Controlled Collaboration Geometry for Personalized Federated Learning
85. ICML 2026Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
86. ICML 2026Convex Dataset Valuation for Post-Training
87. ICML 2026Copula-SVI: Vine-Copula Variational Inference with Stein Refining for Instance-Level Correlation Capturing
88. ICML 2026CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning
89. ICML 2026Corrected Samplers for Discrete Flow Models
90. ICML 2026Cure-SFT: Diagnostic-Guided Data Curation for Instruction Tuning
91. ICML 2026cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
92. ICML 2026CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
93. ICML 2026DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs
94. ICML 2026De4D-SLAM: Gradient-Isolated Static-Dynamic Decoupling for Monocular SLAM in Dynamic Environments
95. ICML 2026Debiased Model-based Representations for Sample-efficient Continuous Control
96. ICML 2026Decentralized Bandits without Global Clock for Dynamic Matching Market
97. ICML 2026Deep Pre-Alignment for VLMs
98. ICML 2026Detecting the Semantic Fixed Point: A Geometric Framework for Efficient Inference
99. ICML 2026Deterministic Differentiable Structured Pruning for Large Language Models
100. ICML 2026DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

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.