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

1,214 papers, page 7 of 25

301. ICML 2026Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection
302. ICML 2026SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
303. ICML 2026SLAE: Strictly Local All-atom Environment for Protein Representation
304. ICML 2026SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks
305. ICML 2026Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials
306. ICML 2026SoftBinary Coding: A New Information-Theoretic Paradigm for Neural Compression via Fast Channel Simulation
307. ICML 2026Softsign: Smooth Sign in Your Optimizer For Better Parameter Heterogeneity Handling
308. ICML 2026Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
309. ICML 2026SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
310. ICML 2026Spatially-Regularized Entropy for Discriminative Token Merging in Fine-Grained Re-Identification
311. ICML 2026Spectra: Rethinking Optimizers for LLMs Under Spectral Anisotropy
312. ICML 2026SPEED: Sharpened-Teacher Distillation for Parallel Decoding of Diffusion Language Models
313. ICML 2026SPUR: Scale-Partitioned Uncertainty Rectification for Robust UAV-on-UAV Interception
314. ICML 2026Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
315. ICML 2026Stable Spectral Copula Alignment for Robust Multimodal Learning
316. ICML 2026Statistically Calibrated Scaling for Token Merging in Transformers
317. ICML 2026Step-Level Sparse Autoencoder for Reasoning Process Interpretation
318. ICML 2026STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
319. ICML 2026STLA: Spatiotemporal Lookahead Alignment for Post-Training Quantization
320. ICML 2026Stochastic Sparse Attention for Memory-Bound Inference
321. ICML 2026Supervised Guidance Training for Infinite-Dimensional Diffusion Models
322. ICML 2026Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink
323. ICML 2026TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning
324. ICML 2026Tail Annealing for Heavy-Tailed Flow Matching
325. ICML 2026Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference
326. ICML 2026Temporal Weighted Encoding: Towards Maximal-Capacity Spike Coding for ANN–SNN Conversion
327. ICML 2026Testing For Distribution Shifts with Conditional Conformal Test Martingales
328. ICML 2026TF-FACE: Time-Frequency Fusion Learning via Frequency-Domain Adaptive and Controllable Enhancement for Trajectory Prediction
329. ICML 2026The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL
330. ICML 2026The Unlearnability Phenomenon in RLVR for Language Models
331. ICML 2026Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
332. ICML 2026Tightening the Score Matching Gap for Diffusion Models
333. ICML 2026Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
334. ICML 2026TileSparse: Arithmetic-Intensity-Aware Sparse Attention for Compute-Bound LLM Decoding
335. ICML 2026TimeLAVA: Learning-Agnostic Valuation for Time Series Data
336. ICML 2026Tokenised Flow Matching for Hierarchical Simulation Based Inference
337. ICML 2026Torus Graphs for Large Scale Neural Phase Analysis
338. ICML 2026Towards Solving the Gilbert-Pollak Conjecture via Large Language Models
339. ICML 2026TRACER: Persistent Regularization for Robust Multimodal Finetuning
340. ICML 2026Tractable Expected Information Gains for Exponential Family Posteriors
341. ICML 2026Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
342. ICML 2026Trajectory Stitching for Solving Inverse Problems with Flow-Based Models
343. ICML 2026Trajectory-Level Data Augmentation for Offline Reinforcement Learning
344. ICML 2026Trajectory-Level Speculative Decoding for Diffusion Language Models
345. ICML 2026TrustworthyQENN: A Quantum Evidential Neural Network Based on Complex-Valued Contrastive Learning for Uncertainty Pattern Classification
346. ICML 2026Tvcache: A Tool-Value Cache for Post-Training LLM Agents
347. ICML 2026TwinQuant: Learnable Subspace Decomposition for 4-Bit LLM Quantization
348. ICML 2026Uncertainty-Constrained Trustworthiness for Graph Learning
349. ICML 2026UniMapping: Unified SLAM Framework for Map-Centric Embodied Perception
350. ICML 2026Unsupervised Neural Langevin Sampler for Mixed Integer Linear Programming

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.