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 11 of 19

501. NeurIPS 2026Local linear convergence of gradient methods for overparameterized Gaussian mixtures
502. NeurIPS 2026LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency
503. NeurIPS 2026Log-Averaged Mirror Prox for Fast, Large-Scale Optimal Transport in Linear Space
504. NeurIPS 2026Logarithmic Depth Suffices for In-Context Gradient Descent
505. NeurIPS 2026Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness
506. NeurIPS 2026LoopPrune: Evolutionary Module Selection with Iterative Execution for Efficient Large Language Model Compression
507. NeurIPS 2026M*: A Modular, Extensible, Serving System for Multimodal Models
508. NeurIPS 2026M$^3$: Reframing Training Measures for Discretized Physical Simulations
509. NeurIPS 2026M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents
510. NeurIPS 2026Macrocanonical Generator Networks: data-efficient neural surrogates for amortized physics simulation
511. NeurIPS 2026MainFL: Intertemporal Data Valuation for Robust Auction-based Federated Learning
512. NeurIPS 2026Majority Bit-Aware Watermarking for Large Language Models
513. NeurIPS 2026MANGO:Multi-Angle Neural Gated Operators for Chirp-Perturbed PDEs
514. NeurIPS 2026Manifold Prior Guided Deep Unfolding for Hyperspectral Image Reconstruction
515. NeurIPS 2026Manifold-Aligned Adversarial Perturbation for Anti-Customization under Diffusion-based Purification
516. NeurIPS 2026Manifold-Guided Stereo-Monocular Refinement for Endoscopic Stereo Disparity Estimation
517. NeurIPS 2026Map-Guided Caching: A Global Perspective for Efficient Diffusion Transformer
518. NeurIPS 2026MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR
519. NeurIPS 2026MapPolicy: Structure-Aware Imitation Learning for Robot Manipulation via Physically Constrained Scene Map
520. NeurIPS 2026Margin Dynamics for Large Language Model Alignment
521. NeurIPS 2026MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
522. NeurIPS 2026MC^2: Monte Carlo Correction for Fast Elliptic PDE Solving
523. NeurIPS 2026MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
524. NeurIPS 2026MCSplat: Multi-View Photometric and Geometric Consistent Feed-Forward Gaussian Splatting for Driving Scenes
525. NeurIPS 2026MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
526. NeurIPS 2026Mean-Field Parallel Decoding for Discrete Diffusion Language Models
527. NeurIPS 2026Mechanistic Critics for Sample-Efficient NPU Design-Space Exploration
528. NeurIPS 2026MedCache: Training-Free Spatially Aware Caching for Accelerated Medical Video Generation
529. NeurIPS 2026MemeEconomy : Do LLM Agents Trade Ethics for Survival?
530. NeurIPS 2026Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies
531. NeurIPS 2026MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters
532. NeurIPS 2026META-PAP: Meta-learning for Prompt-aware Preference Pairing in LLM Alignment
533. NeurIPS 2026Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning for T2I Generation in Unified Multimodal Models
534. NeurIPS 2026METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning
535. NeurIPS 2026MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off
536. NeurIPS 2026MetaLoop: Benchmarking the Full Metacognitive Loop in LLMs
537. NeurIPS 2026MICA: Activation Checkpointing for Double-Backward Training of Machine Learning Interatomic Potentials
538. NeurIPS 2026MiCo: Microstructure-Consistent Flow Matching for Diffusion MRI Angular Super-Resolution
539. NeurIPS 2026Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions
540. NeurIPS 2026MIRAGE: Duality-Inspired MILP Augmentation for Representation Learning
541. NeurIPS 2026MIRAGE: Hierarchical MI-Surrogate Regulation for Graph Contrastive Learning
542. NeurIPS 2026Mirror descent actor-critic methods for entropy regularised MDPs in general spaces: stability and convergence
543. NeurIPS 2026Mirror Descent-Ascent for mean-field min-max problems
544. NeurIPS 2026MixRoute: Rethinking Single-Distribution Training for Generalizable Neural Routing
545. NeurIPS 2026ML-assisted Randomization Tests for A/B Experiments
546. NeurIPS 2026MLLMs Fail to Refuse when Using Tools Agentically
547. NeurIPS 2026MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM
548. NeurIPS 2026Modulating Merging Strengths via Joint Loss Estimation for LoRA-based Continual Learning
549. NeurIPS 2026Monoculture Robust Learning
550. NeurIPS 2026More Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding

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.