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 33 of 43

1601. NeurIPS 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
1602. NeurIPS 2024Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
1603. NeurIPS 2024DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
1604. NeurIPS 2024DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
1605. NeurIPS 2024Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
1606. NeurIPS 2024Dynamic 3D Gaussian Fields for Urban Areas
1607. NeurIPS 2024Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
1608. NeurIPS 2024Dynamic Rescaling for Training GNNs
1609. NeurIPS 2024DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
1610. NeurIPS 2024EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer
1611. NeurIPS 2024ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
1612. NeurIPS 2024ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
1613. NeurIPS 2024Efficiency for Free: Ideal Data Are Transportable Representations
1614. NeurIPS 2024Efficient Convex Algorithms for Universal Kernel Learning
1615. NeurIPS 2024Efficient Discrepancy Testing for Learning with Distribution Shift
1616. NeurIPS 2024Efficient Leverage Score Sampling for Tensor Train Decomposition
1617. NeurIPS 2024Efficient Streaming Algorithms for Graphlet Sampling
1618. NeurIPS 2024Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
1619. NeurIPS 2024EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
1620. NeurIPS 2024einspace: Searching for Neural Architectures from Fundamental Operations
1621. NeurIPS 2024EM Distillation for One-step Diffusion Models
1622. NeurIPS 2024Energy-based Epistemic Uncertainty for Graph Neural Networks
1623. NeurIPS 2024Energy-based Hopfield Boosting for Out-of-Distribution Detection
1624. NeurIPS 2024Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
1625. NeurIPS 2024Ensemble sampling for linear bandits: small ensembles suffice
1626. NeurIPS 2024Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
1627. NeurIPS 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
1628. NeurIPS 2024Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
1629. NeurIPS 2024ESPACE: Dimensionality Reduction of Activations for Model Compression
1630. NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
1631. NeurIPS 2024Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
1632. NeurIPS 2024Exclusively Penalized Q-learning for Offline Reinforcement Learning
1633. NeurIPS 2024Expert-level protocol translation for self-driving labs
1634. NeurIPS 2024Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
1635. NeurIPS 2024FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
1636. NeurIPS 2024Fast Channel Simulation via Error-Correcting Codes
1637. NeurIPS 2024Fast Rates for Bandit PAC Multiclass Classification
1638. NeurIPS 2024Fast samplers for Inverse Problems in Iterative Refinement models
1639. NeurIPS 2024FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
1640. NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
1641. NeurIPS 2024FinBen: A Holistic Financial Benchmark for Large Language Models
1642. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
1643. NeurIPS 2024Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language
1644. NeurIPS 2024FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
1645. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
1646. NeurIPS 2024Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
1647. NeurIPS 2024FUSE: Fast Unified Simulation and Estimation for PDEs
1648. NeurIPS 2024GACL: Exemplar-Free Generalized Analytic Continual Learning
1649. NeurIPS 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
1650. NeurIPS 2024GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation

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.