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 8 of 19

351. NeurIPS 2026From Matrix Inversion to Constraints: Provably Tighter Confidence Regions for Importance Weights in Label Shift
352. NeurIPS 2026From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
353. NeurIPS 2026From Walls to Synergy: A Joint LLM-Evolution Framework for MILP Solvers
354. NeurIPS 2026FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
355. NeurIPS 2026Fully Distributed Tâtonnement for Chores Markets
356. NeurIPS 2026Fully First-Order Algorithms for Online Non-Convex Bilevel Optimization
357. NeurIPS 2026FUTON: Fourier Tensor Network for Implicit Neural Representations
358. NeurIPS 2026G-PAC: Constructing Cohesive Pseudo-Features for Generalizable Physical Adversarial Camouflage
359. NeurIPS 2026Gauge-Symmetric Dual Lagrangian Frameworks for Born-Oppenheimer Molecular Dynamics
360. NeurIPS 2026GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
361. NeurIPS 2026GEAR: A GPU-Accelerated Global Solver for Nonlinear Programs via Linear Bound Propagation
362. NeurIPS 2026GEAR: Generator-Adaptive State Space Models for Associative Recall
363. NeurIPS 2026GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking
364. NeurIPS 2026Generalizable Physics Simulation through Compositional Energy Minimization
365. NeurIPS 2026Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problems
366. NeurIPS 2026Generalization Bounds for Neural Networks with Sparse Connectivity
367. NeurIPS 2026Generalization Measures for Deep Learning Should Be Audited for Fragility
368. NeurIPS 2026Generalized Influence Functions for Better Model Change Estimates
369. NeurIPS 2026Geometric Gain Graph: Zero-Token Graph Construction for Multi-Hop RAG
370. NeurIPS 2026Geometric Velocity Regularity for Flow Matching on Manifold-Concentrated Data
371. NeurIPS 2026Geometry is an Operator: Lie-Algebraic Space Routing for View-Robust 3D MLLMs
372. NeurIPS 2026Geometry-Aware Directional Alignment for Coherent Model Merging
373. NeurIPS 2026Geometry-Calibrated Conformal Abstention for Language Models
374. NeurIPS 2026Geometry-Regularized Collapse Resistance via Consensus Enhancement for Federated Learning
375. NeurIPS 2026GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories
376. NeurIPS 2026GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
377. NeurIPS 2026Get a GRIP, this will be a long TRIP: A Quantifiable Long-Range Framework for Verifying Over-squashing
378. NeurIPS 2026GGQR: Gaussian-Grounded Query Refinement for Feed-Forward 4D Gaussian Splatting
379. NeurIPS 2026Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
380. NeurIPS 2026Global Context Guidance for Diffusion Large Language Models
381. NeurIPS 2026Global Importance Estimation for KV Cache Eviction
382. NeurIPS 2026GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models
383. NeurIPS 2026Gradient-Free Editing for Attribute Invariance in Graph Neural Networks
384. NeurIPS 2026Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation
385. NeurIPS 2026Greedy Alignment Principle for Optimizer Selection
386. NeurIPS 2026Grid Games: The Power Of Multiple Grids for Quantizing Large Language Models
387. NeurIPS 2026Guiding Data Allocation for Robust Subpopulation Generalization
388. NeurIPS 2026H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes
389. NeurIPS 2026Harmonic Torsional Diffusion for Flexible Protein-Ligand Docking
390. NeurIPS 2026Hearing the Unspoken: Simulator-Induced Asymmetric-View Policy Optimization for Proactive Task-Oriented Dialogue
391. NeurIPS 2026Heterogeneous Parallelism for Multimodal Large Language Model Training
392. NeurIPS 2026HeterSEED: Semantics–Structure Decoupling for Heterogeneous Graph Learning under Heterophily
393. NeurIPS 2026Heuresis: Evaluating Search Strategies for Autonomous Machine Learning Research Agents
394. NeurIPS 2026Hider–Seeker Self-Play: Geometry-Verifiable Process Rewards for Long-Horizon Visual Search
395. NeurIPS 2026Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
396. NeurIPS 2026HiFloat4 Format for Language Model Pre-training on Ascend NPUs
397. NeurIPS 2026High-dimensional Gaussian Graphical Model Testing for Long-Memory Time Series
398. NeurIPS 2026High-dimensional Limit of SGD for Diagonal Linear Networks
399. NeurIPS 2026HIST3R: Rectified State Decomposition from History for Streaming 3D Reconstruction
400. NeurIPS 2026How Complete Should a Reference Be? A Benchmark Audit for Fluorescence Spot Detection

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.