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

940 papers, page 12 of 19

551. NeurIPS 2026MorphoHELM: A Comprehensive Benchmark for Evaluating Representations for Microscopy-Based Morphology Assays
552. NeurIPS 2026Mosaic: A Benchmark Suite for Differentiable Physics Solvers
553. NeurIPS 2026Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
554. NeurIPS 2026MOVEBENCH: A Benchmark for Global-Scale Wildlife Movement Forecasting
555. NeurIPS 2026Multiform Attack for Transferable Cross-Modal Person Re-Identification
556. NeurIPS 2026Multiscale Microenvironment Vector Space Projection for Uncovering Diverse Pathological Biomarker
557. NeurIPS 2026MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence
558. NeurIPS 2026NADS: Navigator-Guided Data Selection for Mitigating Catastrophic Forgetting in Fine-Tuning
559. NeurIPS 2026NARRA-Gym for Evaluating Interactive Narrative Agents
560. NeurIPS 2026Near-Linear Time Generalized Sinkhorn Algorithms for Bounded Genus Graphs
561. NeurIPS 2026Nearly Optimal Bounds for Orthogonal Trace-Sum Maximization
562. NeurIPS 2026Nearly-Optimal Algorithm for Adversarial Kernelized Bandits
563. NeurIPS 2026Necessary but Not Sufficient: Spectral Tests for Value-Linear Attention Surrogates
564. NeurIPS 2026NeSyKC: Neurosymbolic Knowledge Compilation For Lifelong Learning Embodied Agents
565. NeurIPS 2026Neural Circuit Architectural Priors for Rat Locomotion
566. NeurIPS 2026Neural Operator-based Curriculum Learning for Physics-Informed Neural Networks
567. NeurIPS 2026NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling
568. NeurIPS 2026Neuromodulated Constrained Autoencoders for Context-Dependent Manifold Learning
569. NeurIPS 2026Neuronal Identity as an Organizational Basis for Analyzing Neural Population Dynamics
570. NeurIPS 2026Neurosymbolic Learning for Inference-Time Argumentation
571. NeurIPS 2026Neutral-atom quantum features as complementary structural encodings for graph learning
572. NeurIPS 2026Never Go Full Batch: Stochastic TMLE for Large-Scale Debiased Inference
573. NeurIPS 2026New Coresets for Fair Clustering
574. NeurIPS 2026NINJA: A Navigator–Inspector Joint Architecture for Context-Efficient Issue Localization
575. NeurIPS 2026NitroBox: Lightning-Fast Sandbox for Large-Scale RL Training
576. NeurIPS 2026NNCoxKL: Risk-Set Distillation from Probability-Free Prognostic Teachers for Deep Cox Models
577. NeurIPS 2026No Free Alignment: Observability-Aware Alignment for Multimodal Heterogeneous Learning
578. NeurIPS 2026Non-Expanding Gated Continued Fraction Architecture for Feedforward Layers in Language Models
579. NeurIPS 2026Non-Linear Pricing Restores Tractability for a Data Seller
580. NeurIPS 2026Nonlinear Direct Feedback Alignment for Scalable Backpropagation-Free Training
581. NeurIPS 2026Not All Instances Should Contribute Equally: Sparse Support Grounding via Unbalanced Transport for Heterogeneous MIL
582. NeurIPS 2026Not All Routing Drift Is Harmful: Trust-Region Projection for Class-Incremental Learning
583. NeurIPS 2026NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
584. NeurIPS 2026nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving
585. NeurIPS 2026Nüwa.RNA: An RNA Foundation Model for Unified Representation with Deep Structure Infusion
586. NeurIPS 2026Objective-Aligned Amortized Inference for Offline Bayes-Adaptive MDP Model Learning
587. NeurIPS 2026Observations Drift, Structures Remain: Structural Pretraining with Time Alignment for Electromagnetic Signals
588. NeurIPS 2026OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization
589. NeurIPS 2026OdysSim: Building Foundation Models for Human Behavior Simulation
590. NeurIPS 2026OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
591. NeurIPS 2026OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling
592. NeurIPS 2026On Concentration Inequalities for Sampling without Replacement
593. NeurIPS 2026On Data Engineering for Scaling LLM Terminal Capabilities
594. NeurIPS 2026On the Memorization of Consistency Distillation for Diffusion Models
595. NeurIPS 2026On the Nonlinearity of Learning Rate Scaling for LLM Training
596. NeurIPS 2026One Avatar, Any Budget: Robust LoD for Dynamic Gaussian Avatars
597. NeurIPS 2026One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
598. NeurIPS 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models
599. NeurIPS 2026Online Quantile Omniprediction for Proper Losses
600. NeurIPS 2026OpenSanctions Pairs: A Large-Scale Dataset for Pairwise Entity Matching

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.