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

1,405 papers, page 21 of 29

1001. NeurIPS 2025DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
1002. NeurIPS 2025Distances for Markov chains from sample streams
1003. NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
1004. NeurIPS 2025dKV-Cache: The Cache for Diffusion Language Models
1005. NeurIPS 2025DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
1006. NeurIPS 2025Does Stochastic Gradient really succeed for bandits?
1007. NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
1008. NeurIPS 2025DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
1009. NeurIPS 2025Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
1010. NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
1011. NeurIPS 2025DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
1012. NeurIPS 2025DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
1013. NeurIPS 2025Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm
1014. NeurIPS 2025DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
1015. NeurIPS 2025DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
1016. NeurIPS 2025EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
1017. NeurIPS 2025Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
1018. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
1019. NeurIPS 2025Efficient Quadratic Corrections for Frank-Wolfe Algorithms
1020. NeurIPS 2025Efficient Verified Unlearning For Distillation
1021. NeurIPS 2025EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
1022. NeurIPS 2025ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
1023. NeurIPS 2025Embedding Principle of Homogeneous Neural Network for Classification Problem
1024. NeurIPS 2025Embodied Cognition Augmented End2End Autonomous Driving
1025. NeurIPS 2025Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
1026. NeurIPS 2025Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
1027. NeurIPS 2025Enhancing 3D Reconstruction for Dynamic Scenes
1028. NeurIPS 2025Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
1029. NeurIPS 2025Environment Inference for Learning Generalizable Dynamical System
1030. NeurIPS 2025Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
1031. NeurIPS 2025Escaping Collapse: The Strength of Weak Data for Large Language Model Training
1032. NeurIPS 2025Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses
1033. NeurIPS 2025Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
1034. NeurIPS 2025Exploring Landscapes for Better Minima along Valleys
1035. NeurIPS 2025Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
1036. NeurIPS 2025Exponential Convergence Guarantees for Iterative Markovian Fitting
1037. NeurIPS 2025Exponential Dynamic Energy Network for High Capacity Sequence Memory
1038. NeurIPS 2025Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
1039. NeurIPS 2025Faster Algorithms for Structured John Ellipsoid Computation
1040. NeurIPS 2025Faster Fixed-Point Methods for Multichain MDPs
1041. NeurIPS 2025FastVID: Dynamic Density Pruning for Fast Video Large Language Models
1042. NeurIPS 2025FedEL: Federated Elastic Learning for Heterogeneous Devices
1043. NeurIPS 2025Finite-Time Bounds for Average-Reward Fitted Q-Iteration
1044. NeurIPS 2025First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training
1045. NeurIPS 2025Flexible inference for animal learning rules using neural networks
1046. NeurIPS 2025FlexOLMo: Open Language Models for Flexible Data Use
1047. NeurIPS 2025FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
1048. NeurIPS 2025FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
1049. NeurIPS 2025Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
1050. NeurIPS 2025For Better or for Worse, Transformers Seek Patterns for Memorization

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.