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

940 papers, page 16 of 19

751. NeurIPS 2026Scale Where It Matters: Training-Free Localized Scaling for Diffusion Models
752. NeurIPS 2026Scale-Invariant Empirical-Bayes Laplace Approximation for ReLU Networks
753. NeurIPS 2026Scaling Laws for SAE Training Data
754. NeurIPS 2026Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet
755. NeurIPS 2026SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
756. NeurIPS 2026SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics
757. NeurIPS 2026SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
758. NeurIPS 2026SD-Search: Hindsight Self-Distillation for Search-Augmented Reasoning
759. NeurIPS 2026Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
760. NeurIPS 2026SEISMOS: A Statistical Signal Detection Framework for Semantic Chunking
761. NeurIPS 2026Self-Programmed Execution for Language-Model Agents
762. NeurIPS 2026SETA: Scaling Environments for Terminal Agents
763. NeurIPS 2026SGEvolve: Semantic Gradient Guidance for LLM-Driven Evolutionary Search
764. NeurIPS 2026SH$^2$: A Mathematician-Curated benchmark for Assessing Research-level Math Capabilities of LLMs
765. NeurIPS 2026Shared Modular Recurrence in Contextual MDPs for Universal Morphology Control
766. NeurIPS 2026Shared-Noise Mechanisms for Verifiable Differentially Private Counting
767. NeurIPS 2026Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
768. NeurIPS 2026Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation
769. NeurIPS 2026Should We Pay This Much for Robustness? Efficient Proxy Certificates with Marginal Guarantees
770. NeurIPS 2026Signed-Permutation Coordinate Transport for RMSNorm Transformers
771. NeurIPS 2026Similarity-Constrained Reweighting for Complex Query Answering on Knowledge Graphs
772. NeurIPS 2026Simulation-aided Reinforcement Learning with Control Variates
773. NeurIPS 2026Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
774. NeurIPS 2026SIRAS: Sibling-Relative Advantage Shaping for Reinforcement Learning from Verifiable Rewards
775. NeurIPS 2026SkillOpt: Executive Strategy for Self-Evolving Agent Skills
776. NeurIPS 2026SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement Learning
777. NeurIPS 2026SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data
778. NeurIPS 2026Small Model Portfolios for Many Deployment Profiles: Submodular Coverage under Bundled Constraints
779. NeurIPS 2026SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
780. NeurIPS 2026SOAR: Regression-based LiDAR Relocalization for UAVs
781. NeurIPS 2026SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
782. NeurIPS 2026SoDeArena: A Socially-Situated Reasoning Benchmark for Large Language Models
783. NeurIPS 2026Solver-as-Teacher: Solver-Guided On-Policy Post-Training Framework for PDE Foundation Models
784. NeurIPS 2026Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer
785. NeurIPS 2026SolvMix: Learning Formulation-State Landscapes for Liquid Electrolyte Conductivity Prediction
786. NeurIPS 2026SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning
787. NeurIPS 2026SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
788. NeurIPS 2026SpaG-DiT: Enhancing Spatial Grounding for Diffusion Transformers
789. NeurIPS 2026Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache
790. NeurIPS 2026Sparse Internal Control of Language Models
791. NeurIPS 2026Sparse Sum-of-Squares Layers for Certified Learning
792. NeurIPS 2026SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs
793. NeurIPS 2026SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization
794. NeurIPS 2026Spectral Insights from the Unconstrained Feature Model for Neural Multi-Output Regression
795. NeurIPS 2026Spectral Quantum Memory for Implicit Neural Representations
796. NeurIPS 2026Spectral Representations for Provably Robust Offline Meta-Reinforcement Learning from Bagged Rewards
797. NeurIPS 2026Spectral Unlearning: Transformer Structure-Preserving Updates for Language Model
798. NeurIPS 2026Spherical Flows for Sampling Categorical Data
799. NeurIPS 2026Spikes as Detectors: Phase-Conditioned Spiking Dynamics for Time-Series Anomaly Detection
800. NeurIPS 2026Spiking neural network initialization for scale-invariant maximization of entropy

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.