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 10 of 27

451. ICLR 2024Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
452. ICLR 2024Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
453. ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
454. ICLR 2024Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
455. ICLR 2024LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
456. ICLR 2024Masked Structural Growth for 2x Faster Language Model Pre-training
457. ICLR 2024Massive Editing for Large Language Models via Meta Learning
458. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
459. ICLR 2024Memory-Consistent Neural Networks for Imitation Learning
460. ICLR 2024Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
461. ICLR 2024Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
462. ICLR 2024Most discriminative stimuli for functional cell type clustering
463. ICLR 2024Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
464. ICLR 2024Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
465. ICLR 2024Neural Auto-designer for Enhanced Quantum Kernels
466. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
467. ICLR 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
468. ICLR 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
469. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
470. ICLR 2024On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
471. ICLR 2024On the Learnability of Watermarks for Language Models
472. ICLR 2024On the Limitations of Temperature Scaling for Distributions with Overlaps
473. ICLR 2024On the Reliability of Watermarks for Large Language Models
474. ICLR 2024On the Stability of Expressive Positional Encodings for Graphs
475. ICLR 2024One Forward is Enough for Neural Network Training via Likelihood Ratio Method
476. ICLR 2024Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime
477. ICLR 2024Oracle Efficient Algorithms for Groupwise Regret
478. ICLR 2024Out-of-Variable Generalisation for Discriminative Models
479. ICLR 2024OWL: A Large Language Model for IT Operations
480. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
481. ICLR 2024Path Choice Matters for Clear Attributions in Path Methods
482. ICLR 2024Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
483. ICLR 2024Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
484. ICLR 2024PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
485. ICLR 2024Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
486. ICLR 2024Plugin estimators for selective classification with out-of-distribution detection
487. ICLR 2024Polynomial Width is Sufficient for Set Representation with High-dimensional Features
488. ICLR 2024Post-hoc bias scoring is optimal for fair classification
489. ICLR 2024Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
490. ICLR 2024Prompt Gradient Projection for Continual Learning
491. ICLR 2024Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
492. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
493. ICLR 2024ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
494. ICLR 2024Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
495. ICLR 2024Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
496. ICLR 2024Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
497. ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
498. ICLR 2024SE(3)-Stochastic Flow Matching for Protein Backbone Generation
499. ICLR 2024Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
500. ICLR 2024SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

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.