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

969 papers, page 12 of 20

551. ICML 2023Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
552. ICML 2023Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
553. ICML 2023Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
554. ICML 2023Approximate Stein Classes for Truncated Density Estimation
555. ICML 2023Approximately Optimal Core Shapes for Tensor Decompositions
556. ICML 2023Approximation Algorithms for Fair Range Clustering
557. ICML 2023Are Large Kernels Better Teachers than Transformers for ConvNets?
558. ICML 2023Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
559. ICML 2023Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
560. ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
561. ICML 2023Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
562. ICML 2023Bi-directional Masks for Efficient N:M Sparse Training
563. ICML 2023Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
564. ICML 2023Blossom: an Anytime Algorithm for Computing Optimal Decision Trees
565. ICML 2023Brainformers: Trading Simplicity for Efficiency
566. ICML 2023CLUSTSEG: Clustering for Universal Segmentation
567. ICML 2023Compositional Score Modeling for Simulation-Based Inference
568. ICML 2023Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
569. ICML 2023Concept-based Explanations for Out-of-Distribution Detectors
570. ICML 2023Coordinate Descent Methods for Fractional Minimization
571. ICML 2023CRISP: Curriculum based Sequential neural decoders for Polar code family
572. ICML 2023Data Structures for Density Estimation
573. ICML 2023Data-Driven Subgroup Identification for Linear Regression
574. ICML 2023Deep Laplacian-based Options for Temporally-Extended Exploration
575. ICML 2023DevFormer: A Symmetric Transformer for Context-Aware Device Placement
576. ICML 2023Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
577. ICML 2023Differentiable Simulations for Enhanced Sampling of Rare Events
578. ICML 2023Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
579. ICML 2023DoCoFL: Downlink Compression for Cross-Device Federated Learning
580. ICML 2023Dual Focal Loss for Calibration
581. ICML 2023Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
582. ICML 2023Efficient preconditioned stochastic gradient descent for estimation in latent variable models
583. ICML 2023Efficient Quantum Algorithms for Quantum Optimal Control
584. ICML 2023EM-Network: Oracle Guided Self-distillation for Sequence Learning
585. ICML 2023Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets
586. ICML 2023Equivariant Architectures for Learning in Deep Weight Spaces
587. ICML 2023Equivariant Polynomials for Graph Neural Networks
588. ICML 2023Ewald-based Long-Range Message Passing for Molecular Graphs
589. ICML 2023Exphormer: Sparse Transformers for Graphs
590. ICML 2023Exponential Smoothing for Off-Policy Learning
591. ICML 2023Extrapolated Random Tree for Regression
592. ICML 2023Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
593. ICML 2023Fast Algorithms for Distributed k-Clustering with Outliers
594. ICML 2023Fast Combinatorial Algorithms for Min Max Correlation Clustering
595. ICML 2023Fast Rates for Maximum Entropy Exploration
596. ICML 2023Federated Conformal Predictors for Distributed Uncertainty Quantification
597. ICML 2023Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
598. ICML 2023Fractional Denoising for 3D Molecular Pre-training
599. ICML 2023Future-conditioned Unsupervised Pretraining for Decision Transformer
600. ICML 2023Gaussian processes at the Helm(holtz): A more fluid model for ocean currents

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.