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 32 of 43

1551. NeurIPS 2024Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
1552. NeurIPS 2024Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
1553. NeurIPS 2024Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
1554. NeurIPS 2024CiteME: Can Language Models Accurately Cite Scientific Claims?
1555. NeurIPS 2024Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
1556. NeurIPS 2024Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
1557. NeurIPS 2024CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
1558. NeurIPS 2024Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
1559. NeurIPS 2024Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
1560. NeurIPS 2024CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
1561. NeurIPS 2024Collaboration! Towards Robust Neural Methods for Routing Problems
1562. NeurIPS 2024Collaborative Refining for Learning from Inaccurate Labels
1563. NeurIPS 2024CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
1564. NeurIPS 2024ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
1565. NeurIPS 2024Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
1566. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
1567. NeurIPS 2024Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
1568. NeurIPS 2024Consensus Learning with Deep Sets for Essential Matrix Estimation
1569. NeurIPS 2024Consistency Models for Scalable and Fast Simulation-Based Inference
1570. NeurIPS 2024Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
1571. NeurIPS 2024Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
1572. NeurIPS 2024Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
1573. NeurIPS 2024Credal Deep Ensembles for Uncertainty Quantification
1574. NeurIPS 2024Croissant: A Metadata Format for ML-Ready Datasets
1575. NeurIPS 2024CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
1576. NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
1577. NeurIPS 2024D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
1578. NeurIPS 2024DAGER: Exact Gradient Inversion for Large Language Models
1579. NeurIPS 2024DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
1580. NeurIPS 2024Data subsampling for Poisson regression with pth-root-link
1581. NeurIPS 2024DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
1582. NeurIPS 2024DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering
1583. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains
1584. NeurIPS 2024DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
1585. NeurIPS 2024DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
1586. NeurIPS 2024DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
1587. NeurIPS 2024Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
1588. NeurIPS 2024Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
1589. NeurIPS 2024DevBench: A multimodal developmental benchmark for language learning
1590. NeurIPS 2024DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
1591. NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
1592. NeurIPS 2024Dimension-free Private Mean Estimation for Anisotropic Distributions
1593. NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
1594. NeurIPS 2024Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
1595. NeurIPS 2024Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
1596. NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
1597. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
1598. NeurIPS 2024DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
1599. NeurIPS 2024DistrictNet: Decision-aware learning for geographical districting
1600. NeurIPS 2024DiTFastAttn: Attention Compression for Diffusion Transformer Models

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.