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 14 of 118

651. ICLR 2026DeNOTS: Stable Deep Neural ODEs for Time Series
652. ICLR 2026Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
653. ICLR 2026DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model
654. ICLR 2026DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning
655. ICLR 2026Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
656. ICLR 2026Dimension-Free Decision Calibration for Nonlinear Loss Functions
657. ICLR 2026Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
658. ICLR 2026Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
659. ICLR 2026Disentangling Knowledge Representations for Large Language Model Editing
660. ICLR 2026DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
661. ICLR 2026Distributed Algorithms for Euclidean Clustering
662. ICLR 2026DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
663. ICLR 2026Do We Really Need Permutations? Impact of Width Expansion on Linear Mode Connectivity
664. ICLR 2026DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
665. ICLR 2026dParallel: Learnable Parallel Decoding for dLLMs
666. ICLR 2026DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing
667. ICLR 2026DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning
668. ICLR 2026DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving
669. ICLR 2026DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
670. ICLR 2026DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models
671. ICLR 2026DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPU
672. ICLR 2026e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
673. ICLR 2026Efficient algorithms for Incremental Metric Bipartite Matching
674. ICLR 2026Efficient Autoregressive Inference for Transformer Probabilistic Models
675. ICLR 2026Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
676. ICLR 2026Efficient Message-Passing Transformer for Error Correcting Codes
677. ICLR 2026Efficient Submodular Maximization for Sums of Concave over Modular Functions
678. ICLR 2026Efficient Turing Machine Simulation with Transformers
679. ICLR 2026EMFuse: Energy-based Model Fusion for Decision Making
680. ICLR 2026Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents
681. ICLR 2026Entropy-Based Block Pruning for Efficient Large Language Models
682. ICLR 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
683. ICLR 2026Evidence for Limited Metacognition in LLMs
684. ICLR 2026Expert Divergence Learning for MoE-based Language Models
685. ICLR 2026Exploring State-Space Models for Data-Specific Neural Representations
686. ICLR 2026FACT: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations
687. ICLR 2026FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting
688. ICLR 2026Fast Convergence of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks
689. ICLR 2026FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff
690. ICLR 2026Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks
691. ICLR 2026FlashRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
692. ICLR 2026Flatter Tokens are More Valuable for Speculative Draft Model Training
693. ICLR 2026FLOWER: A Flow-Matching Solver for Inverse Problems
694. ICLR 2026FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
695. ICLR 2026Forge: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention
696. ICLR 2026From atom to space: A region-based readout function for spatial properties of materials
697. ICLR 2026FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
698. ICLR 2026Getting Your LLMs Ready for Reinforcement Learning with Lightweight SFT
699. ICLR 2026GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
700. ICLR 2026Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models

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.