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

1,308 papers, page 26 of 27

1251. NeurIPS 2024Soft-Label Integration for Robust Toxicity Classification
1252. NeurIPS 2024Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
1253. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
1254. NeurIPS 2024Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
1255. NeurIPS 2024SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
1256. NeurIPS 2024Spectral Editing of Activations for Large Language Model Alignment
1257. NeurIPS 2024Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
1258. NeurIPS 2024Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks
1259. NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
1260. NeurIPS 2024Statistical-Computational Trade-offs for Density Estimation
1261. NeurIPS 2024StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
1262. NeurIPS 2024STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
1263. NeurIPS 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces
1264. NeurIPS 2024SubjECTive-QA: A dataset for the subjective evaluation of answers in Earnings Call Transcripts (ECTs)
1265. NeurIPS 2024Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
1266. NeurIPS 2024Supra-Laplacian Encoding for Transformer on Dynamic Graphs
1267. NeurIPS 2024Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
1268. NeurIPS 2024TFG: Unified Training-Free Guidance for Diffusion Models
1269. NeurIPS 2024TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene
1270. NeurIPS 2024The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
1271. NeurIPS 2024The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
1272. NeurIPS 2024The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
1273. NeurIPS 2024Theoretical guarantees in KL for Diffusion Flow Matching
1274. NeurIPS 2024Tight Bounds for Learning RUMs from Small Slates
1275. NeurIPS 2024Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective
1276. NeurIPS 2024TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge
1277. NeurIPS 2024To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
1278. NeurIPS 2024Tolerant Algorithms for Learning with Arbitrary Covariate Shift
1279. NeurIPS 2024TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
1280. NeurIPS 2024Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
1281. NeurIPS 2024Toward Efficient Inference for Mixture of Experts
1282. NeurIPS 2024Towards Universal Mesh Movement Networks
1283. NeurIPS 2024Toxicity Detection for Free
1284. NeurIPS 2024Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes
1285. NeurIPS 2024Transfer Learning for Latent Variable Network Models
1286. NeurIPS 2024Transfer Q-star : Principled Decoding for LLM Alignment
1287. NeurIPS 2024Typicalness-Aware Learning for Failure Detection
1288. NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
1289. NeurIPS 2024UniMTS: Unified Pre-training for Motion Time Series
1290. NeurIPS 2024UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
1291. NeurIPS 2024Universal Exact Compression of Differentially Private Mechanisms
1292. NeurIPS 2024Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
1293. NeurIPS 2024Universal Rates for Active Learning
1294. NeurIPS 2024Universal Sample Coding
1295. NeurIPS 2024Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
1296. NeurIPS 2024UrbanDataLayer: A Unified Data Pipeline for Urban Science
1297. NeurIPS 2024Validating Climate Models with Spherical Convolutional Wasserstein Distance
1298. NeurIPS 2024Vector Quantization Prompting for Continual Learning
1299. NeurIPS 2024Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds
1300. NeurIPS 2024Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation

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.