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 9 of 25

401. ICML 2025C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
402. ICML 2025Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models
403. ICML 2025Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
404. ICML 2025Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
405. ICML 2025Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?
406. ICML 2025CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
407. ICML 2025Channel Normalization for Time Series Channel Identification
408. ICML 2025CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
409. ICML 2025COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
410. ICML 2025CommVQ: Commutative Vector Quantization for KV Cache Compression
411. ICML 2025Conformity Score Averaging for Classification
412. ICML 2025Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium
413. ICML 2025ConText: Driving In-context Learning for Text Removal and Segmentation
414. ICML 2025Contextual Bandits for Unbounded Context Distributions
415. ICML 2025Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification
416. ICML 2025Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
417. ICML 2025Cover learning for large-scale topology representation
418. ICML 2025Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
419. ICML 2025Curvature Enhanced Data Augmentation for Regression
420. ICML 2025Curvature-aware Graph Attention for PDEs on Manifolds
421. ICML 2025Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
422. ICML 2025Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
423. ICML 2025Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
424. ICML 2025De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
425. ICML 2025Decoupled SGDA for Games with Intermittent Strategy Communication
426. ICML 2025Deep Bayesian Filter for Bayes-Faithful Data Assimilation
427. ICML 2025Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
428. ICML 2025Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph
429. ICML 2025Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
430. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
431. ICML 2025DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control
432. ICML 2025DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
433. ICML 2025Differential Coding for Training-Free ANN-to-SNN Conversion
434. ICML 2025Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights
435. ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
436. ICML 2025Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials
437. ICML 2025Doubly Robust Fusion of Many Treatments for Policy Learning
438. ICML 2025DriveGPT: Scaling Autoregressive Behavior Models for Driving
439. ICML 2025Efficient Diffusion Models for Symmetric Manifolds
440. ICML 2025ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
441. ICML 2025Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
442. ICML 2025EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
443. ICML 2025EPIC: Efficient Position-Independent Caching for Serving Large Language Models
444. ICML 2025EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
445. ICML 2025Exogenous Isomorphism for Counterfactual Identifiability
446. ICML 2025Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
447. ICML 2025Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
448. ICML 2025Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
449. ICML 2025Faster Approximation Algorithms for k-Center via Data Reduction
450. ICML 2025Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

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.