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

2,199 papers, page 31 of 44

1501. NeurIPS 2026Demystifying Numerical Errors in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL
1502. NeurIPS 2026Density-Ratio Losses for Post-Hoc Learning to Defer
1503. NeurIPS 2026Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
1504. NeurIPS 2026Despa: Resolving Spatial Collapse in VLMs via Depth-Grounded Geometry
1505. NeurIPS 2026Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics
1506. NeurIPS 2026DIAL: A Bounded-Monotone Adapter with Closed-Form Residual $L_\infty$ Bounds for Scalar-Controlled Refusal Modulation
1507. NeurIPS 2026DiDE: Direct Injection with Color-Texture DEcoupling for 3D Stylization
1508. NeurIPS 2026Diff-Kalman: Difference-Driven Learning for Structure-Preserving Kalman Filtering
1509. NeurIPS 2026Differentiable Range-Partition Entropy for Entropy-Sensitive Geometric Algorithms
1510. NeurIPS 2026Diffusion Masked Pretraining for Dynamic Point Cloud
1511. NeurIPS 2026Dimension Bounds for Contractive Reservoir Computing from Input Entropy
1512. NeurIPS 2026Direct Conditional Parameterization for N-Dimensional Splatting
1513. NeurIPS 2026Disentangled Multimodal Learning for Scalable Dynamic IR-Drop Analysis
1514. NeurIPS 2026Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
1515. NeurIPS 2026DISTMOE: Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning
1516. NeurIPS 2026Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules
1517. NeurIPS 2026Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
1518. NeurIPS 2026Diverse Representative Rashomon Sets for Sparse Generalized Additive Models
1519. NeurIPS 2026DiversePlace: Diversity-Seeking Curriculum Reinforcement Learning for Macro Placement
1520. NeurIPS 2026Diversity Maximization: Algorithms for Distant $k$-Subsets
1521. NeurIPS 2026DMax: Aggressive Parallel Decoding for dLLMs
1522. NeurIPS 2026DoFP-Aligned Lookup Tables for Real-Time Polarization Demosaicking
1523. NeurIPS 2026Don’t Learn What You Can Compute: Arithmetic Residual Blocks for Exact Arithmetic in Transformers
1524. NeurIPS 2026Don't Waste Population: Post-Anneal Refinement for Combinatorial Optimization
1525. NeurIPS 2026DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
1526. NeurIPS 2026DPA: Decentralized Primal Averaging with Quasi-Global Momentum for Highly Heterogeneous Data
1527. NeurIPS 2026DriveFuture: Future-Aware Latent World Models for Autonomous Driving
1528. NeurIPS 2026DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving
1529. NeurIPS 2026DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
1530. NeurIPS 2026Driving on Memory
1531. NeurIPS 2026Driving Video Retrieval for Complex Queries with Structured Grounding
1532. NeurIPS 2026DropKV: Decoupling Residual-Output Perturbation for Near-Optimal KV-Cache Eviction
1533. NeurIPS 2026DSSA: Dynamic Sparse Semantic Anchoring for Purifying Protective Perturbations against Diffusion Models
1534. NeurIPS 2026DualSAT: A Dual-Branch GNN-Transformer Framework for SAT Solving
1535. NeurIPS 2026DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards
1536. NeurIPS 2026DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification
1537. NeurIPS 2026DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
1538. NeurIPS 2026DynamAuction: a reinforcement learning environment for repeated auction with dynamic value
1539. NeurIPS 2026Dynamic Quadtree Tokenization for Autoregressive PDE Forecasting
1540. NeurIPS 2026Dynamic Query as Budgeting for Tiny Object Detection
1541. NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
1542. NeurIPS 2026DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
1543. NeurIPS 2026DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs
1544. NeurIPS 2026ECHO: Terminal Agents Learn World Models for Free
1545. NeurIPS 2026Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
1546. NeurIPS 2026Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
1547. NeurIPS 2026Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models
1548. NeurIPS 2026EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction
1549. NeurIPS 2026Efficient Algorithms for Distributed Saddle Problems
1550. NeurIPS 2026Efficient Algorithms For Fully Dynamic Bipartite Matching In Metric Spaces

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.