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 15 of 118

701. ICLR 2026GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
702. ICLR 2026H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning
703. ICLR 2026Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning
704. ICLR 2026Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
705. ICLR 2026High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification
706. ICLR 2026High-dimensional Mean-Field Games by Particle-based Flow Matching
707. ICLR 2026High-Probability Bounds for the Last Iterate of Clipped SGD
708. ICLR 2026HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning
709. ICLR 2026Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
710. ICLR 2026HOTA: Hamiltonian framework for Optimal Transport Advection
711. ICLR 2026IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
712. ICLR 2026IDER: IDEMPOTENT EXPERIENCE REPLAY FOR RELIABLE CONTINUAL LEARNING
713. ICLR 2026Implicit Sensing for Fourier Sparse Boolean Functions
714. ICLR 2026Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism
715. ICLR 2026In Good GRACES: Principled Teacher Selection for Knowledge Distillation
716. ICLR 2026In-Context Compositional Q-Learning for Offline Reinforcement Learning
717. ICLR 2026InfGen: Scenario Generation as Next Token Group Prediction
718. ICLR 2026Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study
719. ICLR 2026Invisible Safety Threat: Malicious Finetuning for LLM via Steganography
720. ICLR 2026It's All Just Vectorization: einx, a Universal Notation for Tensor Operations
721. ICLR 2026Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
722. ICLR 2026Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion
723. ICLR 2026Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
724. ICLR 2026Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
725. ICLR 2026KLAS: Using Similarity to Stitch Neural Networks for an Improved Accuracy-Efficiency Tradeoff
726. ICLR 2026KV-Cache Transform Coding for Compact Storage in LLM Inference
727. ICLR 2026LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
728. ICLR 2026Latent Veracity Inference for Identifying Errors in Stepwise Reasoning
729. ICLR 2026Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
730. ICLR 2026LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
731. ICLR 2026LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
732. ICLR 2026Lean Finder: Semantic Search for Mathlib That Understands User Intents
733. ICLR 2026LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
734. ICLR 2026Learning Escorted Protocols For Multistate Free-Energy Estimation
735. ICLR 2026Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
736. ICLR 2026Learning for Highly Faithful Explainability
737. ICLR 2026Learning to Segment for Vehicle Routing Problems
738. ICLR 2026Learning to Weight Parameters for Training Data Attribution
739. ICLR 2026Learning under Quantization for High-Dimensional Linear Regression
740. ICLR 2026LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning
741. ICLR 2026LeRobot: An Open-Source Library for End-to-End Robot Learning
742. ICLR 2026Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
743. ICLR 2026Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference
744. ICLR 2026Lifelong Learning with Behavior Consolidation for Vehicle Routing
745. ICLR 2026LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
746. ICLR 2026Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards
747. ICLR 2026Lossless Vocabulary Reduction for Auto-Regressive Language Models
748. ICLR 2026MambaSL: Exploring Single-Layer Mamba for Time Series Classification
749. ICLR 2026Matching without Group Barrier for Heterogeneous Treatment Effect Estimation
750. ICLR 2026MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation

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.