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

2,199 papers, page 42 of 44

2051. NeurIPS 2026SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs
2052. NeurIPS 2026SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization
2053. NeurIPS 2026Spectral Insights from the Unconstrained Feature Model for Neural Multi-Output Regression
2054. NeurIPS 2026Spectral Quantum Memory for Implicit Neural Representations
2055. NeurIPS 2026Spectral Representations for Provably Robust Offline Meta-Reinforcement Learning from Bagged Rewards
2056. NeurIPS 2026Spectral Unlearning: Transformer Structure-Preserving Updates for Language Model
2057. NeurIPS 2026Spherical Flows for Sampling Categorical Data
2058. NeurIPS 2026Spikes as Detectors: Phase-Conditioned Spiking Dynamics for Time-Series Anomaly Detection
2059. NeurIPS 2026Spiking neural network initialization for scale-invariant maximization of entropy
2060. NeurIPS 2026SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
2061. NeurIPS 2026Split Then Select: Moment-Preserving Density Control for Generalized Primitive Splatting
2062. NeurIPS 2026SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving
2063. NeurIPS 2026SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
2064. NeurIPS 2026SSDGExplainer: Structure-Semantic Dual-Guided Explainer for Graph Neural Networks
2065. NeurIPS 2026Stability Regimes for Framing-Sensitive Fine-Tuning in Language Models
2066. NeurIPS 2026Stabilizing RL+Search for Imperfect-Information Extensive-Form Games
2067. NeurIPS 2026Stable and Scalable Probabilistic Numerical Solvers for Stiff and High-Dimensional ODEs
2068. NeurIPS 2026Stable Partial Order Constraints for Temporal Causal Structure Learning
2069. NeurIPS 2026StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
2070. NeurIPS 2026StainNFT: Curriculum-Gated Multi-Reward Post-Training for Pathology-Faithful Virtual Staining
2071. NeurIPS 2026STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
2072. NeurIPS 2026StarCraft Motion: A Dataset for Agent Simulation in Adversarial and Partially Observable Scenarios
2073. NeurIPS 2026STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
2074. NeurIPS 2026State Evolution Awareness for Category-agnostic 3D Point Cloud Tracking
2075. NeurIPS 2026Static-Dynamic Disentanglement for Efficient Multi-Frame Vision-Language-Action Models
2076. NeurIPS 2026Statistical Mixing Guarantees for Contractive Echo State Networks
2077. NeurIPS 2026Statistical Query Lower Bounds for Smoothed Agnostic Learning
2078. NeurIPS 2026STEER: Route-Aware Adaptive Reasoning for Autonomous Driving
2079. NeurIPS 2026Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language Models
2080. NeurIPS 2026Stein Transport for Generative Modeling
2081. NeurIPS 2026STEP: Learning STructured Embeddings for Progressive Time Series
2082. NeurIPS 2026Sticky Jump Diffusions: A Unifying Framework for Discrete, Continuous, and Hybrid Diffusion
2083. NeurIPS 2026Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization
2084. NeurIPS 2026Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability
2085. NeurIPS 2026Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States
2086. NeurIPS 2026Stop Quantum Machine Learning; do AI-for-Quantum instead
2087. NeurIPS 2026Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
2088. NeurIPS 2026StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models
2089. NeurIPS 2026Stroke-Audited Quadratic Bezier Splatting with Structural Initialization for Efficient Painting Rendering
2090. NeurIPS 2026StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
2091. NeurIPS 2026Structural Support Certificates for Mechanistic Hypothesis Selection
2092. NeurIPS 2026Structured Coupling for Flow Matching
2093. NeurIPS 2026Structured Masked Diffusion for Joint Multiuser Decoding
2094. NeurIPS 2026Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
2095. NeurIPS 2026Sub-Gaussian Confidence Intervals for Heavy-Tailed Data: Characterizing the Limits of Inference
2096. NeurIPS 2026Subset-Conditioned Boundary Compensation for Missing-Modality Multimodal Classification
2097. NeurIPS 2026Subspace-Guided Continual Learning: Hessian Based Stable–Plastic Decomposition for Exemplar-Free Class-Incremental Learning
2098. NeurIPS 2026SudoBench: A Contextual Authorization Benchmark for LLM Agents
2099. NeurIPS 2026Support Mismatch as a Benchmark Failure Mode for In-Context Prediction
2100. NeurIPS 2026Susceptibilities for Neural Networks Learning from Physical Data

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.