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 17 of 19

801. NeurIPS 2026SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
802. NeurIPS 2026Split Then Select: Moment-Preserving Density Control for Generalized Primitive Splatting
803. NeurIPS 2026SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving
804. NeurIPS 2026SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
805. NeurIPS 2026SSDGExplainer: Structure-Semantic Dual-Guided Explainer for Graph Neural Networks
806. NeurIPS 2026Stability Regimes for Framing-Sensitive Fine-Tuning in Language Models
807. NeurIPS 2026Stabilizing RL+Search for Imperfect-Information Extensive-Form Games
808. NeurIPS 2026Stable and Scalable Probabilistic Numerical Solvers for Stiff and High-Dimensional ODEs
809. NeurIPS 2026Stable Partial Order Constraints for Temporal Causal Structure Learning
810. NeurIPS 2026StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
811. NeurIPS 2026StainNFT: Curriculum-Gated Multi-Reward Post-Training for Pathology-Faithful Virtual Staining
812. NeurIPS 2026STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
813. NeurIPS 2026StarCraft Motion: A Dataset for Agent Simulation in Adversarial and Partially Observable Scenarios
814. NeurIPS 2026STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
815. NeurIPS 2026State Evolution Awareness for Category-agnostic 3D Point Cloud Tracking
816. NeurIPS 2026Static-Dynamic Disentanglement for Efficient Multi-Frame Vision-Language-Action Models
817. NeurIPS 2026Statistical Mixing Guarantees for Contractive Echo State Networks
818. NeurIPS 2026Statistical Query Lower Bounds for Smoothed Agnostic Learning
819. NeurIPS 2026STEER: Route-Aware Adaptive Reasoning for Autonomous Driving
820. NeurIPS 2026Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language Models
821. NeurIPS 2026Stein Transport for Generative Modeling
822. NeurIPS 2026STEP: Learning STructured Embeddings for Progressive Time Series
823. NeurIPS 2026Sticky Jump Diffusions: A Unifying Framework for Discrete, Continuous, and Hybrid Diffusion
824. NeurIPS 2026Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization
825. NeurIPS 2026Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability
826. NeurIPS 2026Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States
827. NeurIPS 2026Stop Quantum Machine Learning; do AI-for-Quantum instead
828. NeurIPS 2026Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
829. NeurIPS 2026StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models
830. NeurIPS 2026Stroke-Audited Quadratic Bezier Splatting with Structural Initialization for Efficient Painting Rendering
831. NeurIPS 2026StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
832. NeurIPS 2026Structural Support Certificates for Mechanistic Hypothesis Selection
833. NeurIPS 2026Structured Coupling for Flow Matching
834. NeurIPS 2026Structured Masked Diffusion for Joint Multiuser Decoding
835. NeurIPS 2026Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
836. NeurIPS 2026Sub-Gaussian Confidence Intervals for Heavy-Tailed Data: Characterizing the Limits of Inference
837. NeurIPS 2026Subset-Conditioned Boundary Compensation for Missing-Modality Multimodal Classification
838. NeurIPS 2026Subspace-Guided Continual Learning: Hessian Based Stable–Plastic Decomposition for Exemplar-Free Class-Incremental Learning
839. NeurIPS 2026SudoBench: A Contextual Authorization Benchmark for LLM Agents
840. NeurIPS 2026Support Mismatch as a Benchmark Failure Mode for In-Context Prediction
841. NeurIPS 2026Susceptibilities for Neural Networks Learning from Physical Data
842. NeurIPS 2026SVDP: Training-Free Contextual Sparsity Predictors for Fast LLM Inference
843. NeurIPS 2026Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
844. NeurIPS 2026Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems
845. NeurIPS 2026Symplectic Parallel Scan: A Neural Hamiltonian Framework for Accelerated Scientific Simulation
846. NeurIPS 2026SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning
847. NeurIPS 2026T-ReX: Learning Tile-Reuse Indexes for Structured Model Compression
848. NeurIPS 2026TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning
849. NeurIPS 2026TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
850. NeurIPS 2026Tail Competition Explains Scaling in Best-of-N Sampling for Verifiable Problems

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.