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

1,214 papers, page 19 of 25

901. ICML 2024Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
902. ICML 2024Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
903. ICML 2024Position: Tensor Networks are a Valuable Asset for Green AI
904. ICML 2024Position: The Reasonable Person Standard for AI
905. ICML 2024Position: Topological Deep Learning is the New Frontier for Relational Learning
906. ICML 2024Position: Video as the New Language for Real-World Decision Making
907. ICML 2024Practical Performance Guarantees for Pipelined DNN Inference
908. ICML 2024Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
909. ICML 2024Predictive Linear Online Tracking for Unknown Targets
910. ICML 2024PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
911. ICML 2024PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
912. ICML 2024Proactive DP: A Multiple Target Optimization Framework for DP-SGD
913. ICML 2024Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
914. ICML 2024Prompt Sketching for Large Language Models
915. ICML 2024Prompt-tuning Latent Diffusion Models for Inverse Problems
916. ICML 2024Prospective Side Information for Latent MDPs
917. ICML 2024Prospector Heads: Generalized Feature Attribution for Large Models & Data
918. ICML 2024ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
919. ICML 2024Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
920. ICML 2024Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
921. ICML 2024Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
922. ICML 2024Q-value Regularized Transformer for Offline Reinforcement Learning
923. ICML 2024QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
924. ICML 2024Quantum Positional Encodings for Graph Neural Networks
925. ICML 2024Quasi-Monte Carlo Features for Kernel Approximation
926. ICML 2024QuRating: Selecting High-Quality Data for Training Language Models
927. ICML 2024Randomized Confidence Bounds for Stochastic Partial Monitoring
928. ICML 2024Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
929. ICML 2024Recurrent Early Exits for Federated Learning with Heterogeneous Clients
930. ICML 2024Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
931. ICML 2024ReLUs Are Sufficient for Learning Implicit Neural Representations
932. ICML 2024REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
933. ICML 2024Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast
934. ICML 2024Restoring balance: principled under/oversampling of data for optimal classification
935. ICML 2024Revisiting the Power of Prompt for Visual Tuning
936. ICML 2024Reweighted Solutions for Weighted Low Rank Approximation
937. ICML 2024RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
938. ICML 2024RoboDreamer: Learning Compositional World Models for Robot Imagination
939. ICML 2024RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
940. ICML 2024Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
941. ICML 2024Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
942. ICML 2024Sample Complexity Bounds for Estimating Probability Divergences under Invariances
943. ICML 2024Sample-specific Masks for Visual Reprogramming-based Prompting
944. ICML 2024Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
945. ICML 2024Scaling Laws for the Value of Individual Data Points in Machine Learning
946. ICML 2024Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
947. ICML 2024Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
948. ICML 2024Simple Ingredients for Offline Reinforcement Learning
949. ICML 2024Simulation of Graph Algorithms with Looped Transformers
950. ICML 2024Simulation-Based Inference with Quantile Regression

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.