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

899 papers, page 13 of 18

601. ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
602. ICLR 2024GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
603. ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
604. ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
605. ICLR 2024Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
606. ICLR 2024How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
607. ICLR 2024How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
608. ICLR 2024Identifying Representations for Intervention Extrapolation
609. ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
610. ICLR 2024Improved Techniques for Training Consistency Models
611. ICLR 2024In defense of parameter sharing for model-compression
612. ICLR 2024Input-gradient space particle inference for neural network ensembles
613. ICLR 2024Intelligent Switching for Reset-Free RL
614. ICLR 2024Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
615. ICLR 2024Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
616. ICLR 2024Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
617. ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
618. ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
619. ICLR 2024Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
620. ICLR 2024Large Language Models as Generalizable Policies for Embodied Tasks
621. ICLR 2024Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
622. ICLR 2024Learning Energy Decompositions for Partial Inference in GFlowNets
623. ICLR 2024Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
624. ICLR 2024Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
625. ICLR 2024Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
626. ICLR 2024Learning with Mixture of Prototypes for Out-of-Distribution Detection
627. ICLR 2024Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
628. ICLR 2024Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
629. ICLR 2024Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
630. ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
631. ICLR 2024Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
632. ICLR 2024LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
633. ICLR 2024Masked Structural Growth for 2x Faster Language Model Pre-training
634. ICLR 2024Massive Editing for Large Language Models via Meta Learning
635. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
636. ICLR 2024Memory-Consistent Neural Networks for Imitation Learning
637. ICLR 2024Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
638. ICLR 2024Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
639. ICLR 2024Most discriminative stimuli for functional cell type clustering
640. ICLR 2024Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
641. ICLR 2024Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
642. ICLR 2024Neural Auto-designer for Enhanced Quantum Kernels
643. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
644. ICLR 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
645. ICLR 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
646. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
647. ICLR 2024On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
648. ICLR 2024On the Learnability of Watermarks for Language Models
649. ICLR 2024On the Limitations of Temperature Scaling for Distributions with Overlaps
650. ICLR 2024On the Reliability of Watermarks for Large Language Models

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.