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

899 papers, page 11 of 18

501. ICLR 2025Score-based free-form architectures for high-dimensional Fokker-Planck equations
502. ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
503. ICLR 2025Self-Normalized Resets for Plasticity in Continual Learning
504. ICLR 2025Semantix: An Energy-guided Sampler for Semantic Style Transfer
505. ICLR 2025Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
506. ICLR 2025Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
507. ICLR 2025SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
508. ICLR 2025Simple Guidance Mechanisms for Discrete Diffusion Models
509. ICLR 2025SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
510. ICLR 2025SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
511. ICLR 2025SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
512. ICLR 2025SOREL: A Stochastic Algorithm for Spectral Risks Minimization
513. ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
514. ICLR 2025Sparse Learning for State Space Models on Mobile
515. ICLR 2025Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
516. ICLR 2025Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
517. ICLR 2025STAR: Stability-Inducing Weight Perturbation for Continual Learning
518. ICLR 2025STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes
519. ICLR 2025Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
520. ICLR 2025Structure Language Models for Protein Conformation Generation
521. ICLR 2025SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
522. ICLR 2025SWEb: A Large Web Dataset for the Scandinavian Languages
523. ICLR 2025Tailoring Mixup to Data for Calibration
524. ICLR 2025Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
525. ICLR 2025TorchTitan: One-stop PyTorch native solution for production ready LLM pretraining
526. ICLR 2025Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
527. ICLR 2025Training-Free Message Passing for Learning on Hypergraphs
528. ICLR 2025Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
529. ICLR 2025Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
530. ICLR 2025TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
531. ICLR 2025Uncertainty Herding: One Active Learning Method for All Label Budgets
532. ICLR 2025UniDrive: Towards Universal Driving Perception Across Camera Configurations
533. ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
534. ICLR 2025uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
535. ICLR 2025Utilitarian Algorithm Configuration for Infinite Parameter Spaces
536. ICLR 2025Variance-Reducing Couplings for Random Features
537. ICLR 2025What Are Good Positional Encodings for Directed Graphs?
538. ICLR 2025X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
539. ICLR 2025XAIguiFormer: explainable artificial intelligence guided transformer for brain disorder identification
540. ICLR 2025Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
541. ICLR 2025Your Weak LLM is Secretly a Strong Teacher for Alignment
542. ICLR 2024$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
543. ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
544. ICLR 2024A 2-Dimensional State Space Layer for Spatial Inductive Bias
545. ICLR 2024A Characterization Theorem for Equivariant Networks with Point-wise Activations
546. ICLR 2024A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
547. ICLR 2024A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
548. ICLR 2024A Differentially Private Clustering Algorithm for Well-Clustered Graphs
549. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
550. ICLR 2024A Quadratic Synchronization Rule for Distributed Deep Learning

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.