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

5,881 papers, page 16 of 118

751. ICLR 2026MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
752. ICLR 2026MeSH: Memory-as-State-Highways for Recursive Transformers
753. ICLR 2026MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
754. ICLR 2026MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion
755. ICLR 2026Minimax-Optimal Aggregation for Density Ratio Estimation
756. ICLR 2026MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
757. ICLR 2026MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE
758. ICLR 2026MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale
759. ICLR 2026Multifidelity Simulation-based Inference for Computationally Expensive Simulators
760. ICLR 2026Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster
761. ICLR 2026NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction
762. ICLR 2026Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs
763. ICLR 2026Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
764. ICLR 2026Neural Graduated Assignment for Maximum Common Edge Subgraphs
765. ICLR 2026Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport
766. ICLR 2026Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
767. ICLR 2026Neural Posterior Estimation with Latent Basis Expansions
768. ICLR 2026Non-Collaborative User Simulators for Tool Agents
769. ICLR 2026Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs
770. ICLR 2026NRGPT: An Energy-based Alternative for GPT
771. ICLR 2026Null-Space Filtering for Data-free Continual Model Merging: Preserving Transparency, Promoting Fidelity
772. ICLR 2026OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
773. ICLR 2026OccDriver: Future Occupancy Guided Dual-branch Trajectory Planner in Autonomous Driving
774. ICLR 2026Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX
775. ICLR 2026OFMU: OPTIMIZATION-DRIVEN FRAMEWORK FOR MACHINE UNLEARNING
776. ICLR 2026OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
777. ICLR 2026On Coreset for LASSO Regression Problem with Sensitivity Sampling
778. ICLR 2026On Smoothness Bounds for Non-Clairvoyant Scheduling with Predictions
779. ICLR 2026On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
780. ICLR 2026On the Expressive Power of GNNs for Boolean Satisfiability
781. ICLR 2026On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment
782. ICLR 2026One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
783. ICLR 2026OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
784. ICLR 2026OpenThoughts: Data Recipes for Reasoning Models
785. ICLR 2026Optimal transport unlocks end-to-end learning for single-molecule localization
786. ICLR 2026OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research
787. ICLR 2026OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs
788. ICLR 2026Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
789. ICLR 2026Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
790. ICLR 2026Overtone: Cyclic Patch Modulation for Cleaner, Faster Physics Emulators
791. ICLR 2026P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context
792. ICLR 2026PAC-Bayes bounds for cumulative loss in Continual Learning
793. ICLR 2026PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
794. ICLR 2026Panda: A pretrained forecast model for chaotic dynamics
795. ICLR 2026PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery
796. ICLR 2026Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL
797. ICLR 2026PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
798. ICLR 2026PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
799. ICLR 2026PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
800. ICLR 2026Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds

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.