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

542 papers, page 2 of 11

51. NeurIPS 2025Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
52. NeurIPS 2025Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses
53. NeurIPS 2025Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
54. NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
55. NeurIPS 2025Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
56. NeurIPS 2025AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
57. NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
58. NeurIPS 2025Availability-aware Sensor Fusion via Unified Canonical Space
59. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
60. NeurIPS 2025BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
61. NeurIPS 2025Behavior Injection: Preparing Language Models for Reinforcement Learning
62. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
63. NeurIPS 2025Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
64. NeurIPS 2025Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
65. NeurIPS 2025Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
66. NeurIPS 2025Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
67. NeurIPS 2025Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
68. NeurIPS 2025Bipolar Self-attention for Spiking Transformers
69. NeurIPS 2025BLEUBERI: BLEU is a surprisingly effective reward for instruction following
70. NeurIPS 2025Block Coordinate Descent for Neural Networks Provably Finds Global Minima
71. NeurIPS 2025Block-Biased Mamba for Long-Range Sequence Processing
72. NeurIPS 2025Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
73. NeurIPS 2025BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
74. NeurIPS 2025BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
75. NeurIPS 2025Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
76. NeurIPS 2025Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
77. NeurIPS 2025Breaking the Discretization Barrier of Continuous Physics Simulation Learning
78. NeurIPS 2025Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
79. NeurIPS 2025Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
80. NeurIPS 2025CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
81. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
82. NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
83. NeurIPS 2025Chain-of-Model Learning for Language Model
84. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
85. NeurIPS 2025Checklists Are Better Than Reward Models For Aligning Language Models
86. NeurIPS 2025Class-wise Balancing Data Replay for Federated Class-Incremental Learning
87. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
88. NeurIPS 2025CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
89. NeurIPS 2025CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates
90. NeurIPS 2025Compact Memory for Continual Logistic Regression
91. NeurIPS 2025Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
92. NeurIPS 2025Compute-Optimal Scaling for Value-Based Deep RL
93. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
94. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
95. NeurIPS 2025Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe
96. NeurIPS 2025Consistency Conditions for Differentiable Surrogate Losses
97. NeurIPS 2025Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
98. NeurIPS 2025Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
99. NeurIPS 2025Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
100. NeurIPS 2025Continuous Diffusion Model for Language Modeling

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.