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 18 of 19

851. NeurIPS 2026TailDiff: Elicitable Tail-Guided Diffusion for Risk-Sensitive Generation
852. NeurIPS 2026TanGCE: Manifold-Aware Concept Erasure
853. NeurIPS 2026Target-Aware Nuisance Shaping for Object Detection
854. NeurIPS 2026Target-Budget Best-Function Identification for Scaling-Law-Guided Model Selection
855. NeurIPS 2026TARP: Trace-Anchored Regularization Prior for Retaining Stepwise Reasoning
856. NeurIPS 2026TasteBench: multimodal benchmark for sensory prediction, from molecules to sustainable foods
857. NeurIPS 2026TELEVAL: A Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios
858. NeurIPS 2026Temporal Pair Consistency for Flow Matching
859. NeurIPS 2026The Alternation Depth Principle for Neural Operator Design
860. NeurIPS 2026The Cost of Absolute Position: A Spread-Expressivity Tradeoff for Additive Positional Encodings
861. NeurIPS 2026The Denoising Wrapper: A Modular Post-Processing Framework for Noisy First-Order Optimizers
862. NeurIPS 2026The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks
863. NeurIPS 2026The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality
864. NeurIPS 2026The Multiscale Single-Index Model: A Toy Model for Hierarchical Feature Learning
865. NeurIPS 2026The Power of Second Order Methods for Sequence Preconditioning
866. NeurIPS 2026The Spectral Amplitude Principle for Dynamics of Quantum Neural Networks
867. NeurIPS 2026Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference
868. NeurIPS 2026Theoretical Limits of Language Model Alignment
869. NeurIPS 2026Think Before You Generate: Active Panoramic Exploration for Text-to-3D Scenes
870. NeurIPS 2026TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics
871. NeurIPS 2026To discretize continually: Mean shift interacting particle systems for Bayesian inference
872. NeurIPS 2026To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series
873. NeurIPS 2026TokenRouter: Efficient Serving System for Token-Level LLM Routing
874. NeurIPS 2026Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law Extrapolation
875. NeurIPS 2026Tools as Continuous Flow for Evolving Agentic Reasoning
876. NeurIPS 2026TopoScope: A Graph-Scoped LLM Agent for Printed Circuit Board Schematic Design
877. NeurIPS 2026TORNADO: Adaptive Latent Stochastic Transport for Calibrated Probabilistic PDE Forecasting
878. NeurIPS 2026ToS: Tree-of-Skill Reinforcement Learning driven by Behavior Tree for Long-Horizon Manipulation
879. NeurIPS 2026Toward Minimal-dimensional Convex Calibrated Surrogate Losses for Classification with Rejection
880. NeurIPS 2026Toward Semantically-Consistent Tuning-Free Customization for Rectified Flow Transformers
881. NeurIPS 2026Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents
882. NeurIPS 2026Towards Optimal Pre-training Data Mixtures for Empowering Reinforcement Learning in LLMs
883. NeurIPS 2026Towards Precise Knowledge Distillation for Large Language Models via Knowledge Probing
884. NeurIPS 2026Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
885. NeurIPS 2026Towards Scalable Data Diversification for Language Model Pretraining via Leverage Score Sampling
886. NeurIPS 2026Towards Self-Supervised, Generalizable and Decomposable 4D Driving Scene Reconstruction
887. NeurIPS 2026TPO: Tri-level Distributionally Robust Learning for OOD Direct Preference Optimization
888. NeurIPS 2026Train on the Sphere, Deploy on the Hill: Closed-Form-Anchored Surrogates for Real-Terrain Boundary-Integral Equations
889. NeurIPS 2026Training-Free Entangler Selection for Quantum Neural Networks via Hilbert–Schmidt Geometry
890. NeurIPS 2026Trajectory Evaluation via Rollout-Free World Model for End-to-end Autonomous Driving
891. NeurIPS 2026Trajectory-Consistent Dropout for Uncertainty Decomposition in Hamiltonian Neural Networks
892. NeurIPS 2026Trajectory-Matching Meta Pseudo-Labeling for Semi-Supervised Learning
893. NeurIPS 2026Transductive Generalization for GNNs via Optimal Transport
894. NeurIPS 2026Transolver-GMsFEM: A Hybrid Framework for High-Contrast Multiscale PDEs on Irregular Grids
895. NeurIPS 2026Traversal-Invariant Positional Encoding for Serialized Graphs
896. NeurIPS 2026Tree Rotary Positional Encoding for Extreme Length Extrapolation from Scratch
897. NeurIPS 2026TriAxialKV: Toward Extreme Low-Precision KV-Cache Quantization for Agentic Inference Tasks
898. NeurIPS 2026TRIDENT: Post-Selection Evidence Accountability for Token-Efficient RAG
899. NeurIPS 2026TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models
900. NeurIPS 2026TwinFlux: One-Step Discrete-Continuous Flow for End-to-End Autonomous Driving

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.