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

1,308 papers, page 14 of 27

651. ICML 2024EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
652. ICML 2024Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
653. ICML 2024Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
654. ICML 2024Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
655. ICML 2024Fast Sampling-Based Sketches for Tensors
656. ICML 2024Feature Importance Disparities for Data Bias Investigations
657. ICML 2024Feel-Good Thompson Sampling for Contextual Dueling Bandits
658. ICML 2024Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
659. ICML 2024Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation
660. ICML 2024Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation
661. ICML 2024First-Order Manifold Data Augmentation for Regression Learning
662. ICML 2024Flexible Residual Binarization for Image Super-Resolution
663. ICML 2024FRAG: Frequency Adapting Group for Diffusion Video Editing
664. ICML 2024FrameQuant: Flexible Low-Bit Quantization for Transformers
665. ICML 2024From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
666. ICML 2024From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
667. ICML 2024Gambling-Based Confidence Sequences for Bounded Random Vectors
668. ICML 2024Gaussian Plane-Wave Neural Operator for Electron Density Estimation
669. ICML 2024Generalized Neural Collapse for a Large Number of Classes
670. ICML 2024Generalized Sobolev Transport for Probability Measures on a Graph
671. ICML 2024Generalizing Orthogonalization for Models with Non-Linearities
672. ICML 2024Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
673. ICML 2024GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
674. ICML 2024Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
675. ICML 2024GRATH: Gradual Self-Truthifying for Large Language Models
676. ICML 2024Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
677. ICML 2024Guidance with Spherical Gaussian Constraint for Conditional Diffusion
678. ICML 2024HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
679. ICML 2024Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
680. ICML 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
681. ICML 2024High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
682. ICML 2024Homomorphism Counts for Graph Neural Networks: All About That Basis
683. ICML 2024How Learning by Reconstruction Produces Uninformative Features For Perception
684. ICML 2024Hybrid Neural Representations for Spherical Data
685. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
686. ICML 2024Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
687. ICML 2024Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes
688. ICML 2024Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
689. ICML 2024Improving Gradient-Guided Nested Sampling for Posterior Inference
690. ICML 2024In-context Learning on Function Classes Unveiled for Transformers
691. ICML 2024In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
692. ICML 2024Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints
693. ICML 2024InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
694. ICML 2024Interpretable Deep Clustering for Tabular Data
695. ICML 2024Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
696. ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
697. ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
698. ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
699. ICML 2024Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
700. ICML 2024Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters

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.