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

1,214 papers, page 12 of 25

551. ICML 2025Phase transitions for the existence of unregularized M-estimators in single index models
552. ICML 2025Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems
553. ICML 2025Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
554. ICML 2025Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
555. ICML 2025Position: Constants are Critical in Regret Bounds for Reinforcement Learning
556. ICML 2025Position: It Is Time We Test Neural Computation In Vitro
557. ICML 2025Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable
558. ICML 2025Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States
559. ICML 2025Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents
560. ICML 2025Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
561. ICML 2025Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
562. ICML 2025Probabilistic Factorial Experimental Design for Combinatorial Interventions
563. ICML 2025Pruning for GNNs: Lower Complexity with Comparable Expressiveness
564. ICML 2025QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal
565. ICML 2025Quadratic Upper Bound for Boosting Robustness
566. ICML 2025Quantum Speedup for Hypergraph Sparsification
567. ICML 2025Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
568. ICML 2025Rectifying Conformity Scores for Better Conditional Coverage
569. ICML 2025Reinforced Lifelong Editing for Language Models
570. ICML 2025RelGNN: Composite Message Passing for Relational Deep Learning
571. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
572. ICML 2025ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
573. ICML 2025Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective
574. ICML 2025Robust Autonomy Emerges from Self-Play
575. ICML 2025Robust Spatio-Temporal Centralized Interaction for OOD Learning
576. ICML 2025Runtime Analysis of Evolutionary NAS for Multiclass Classification
577. ICML 2025SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
578. ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
579. ICML 2025Scalable First-order Method for Certifying Optimal k-Sparse GLMs
580. ICML 2025Scalable Sobolev IPM for Probability Measures on a Graph
581. ICML 2025Secant Line Search for Frank-Wolfe Algorithms
582. ICML 2025Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
583. ICML 2025Selective Response Strategies for GenAI
584. ICML 2025Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
585. ICML 2025Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts
586. ICML 2025Signed Laplacians for Constrained Graph Clustering
587. ICML 2025Simple Path Structural Encoding for Graph Transformers
588. ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
589. ICML 2025SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
590. ICML 2025Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
591. ICML 2025SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
592. ICML 2025SlimLLM: Accurate Structured Pruning for Large Language Models
593. ICML 2025Softmax is not Enough (for Sharp Size Generalisation)
594. ICML 2025Sparse-pivot: Dynamic correlation clustering for node insertions
595. ICML 2025SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
596. ICML 2025Speeding up Policy Simulation in Supply Chain RL
597. ICML 2025Statistical Test for Feature Selection Pipelines by Selective Inference
598. ICML 2025Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
599. ICML 2025Steerable Transformers for Volumetric Data
600. ICML 2025Stochastic Encodings for Active Feature Acquisition

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.