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 9 of 19

401. NeurIPS 2026How Much Information is Needed for Accurate Kalman Filtering?
402. NeurIPS 2026How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
403. NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
404. NeurIPS 2026HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes
405. NeurIPS 2026Hybrid Neural World Models for Physical Dynamics
406. NeurIPS 2026Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
407. NeurIPS 2026HybridCache: Enhancing Prefix Caching for Linear–Softmax Language Models
408. NeurIPS 2026Hypernetworks for Dynamic Feature Selection
409. NeurIPS 2026Hyperparameter Transfer for Dense Associative Memories
410. NeurIPS 2026Hyperspherical Local Margin Retraction for Zero-Shot Instance-Wise Machine Unlearning
411. NeurIPS 2026HypMoE-ReID: Hyperspherical Mixture-of-Experts for Large Scale Person Re-Identification
412. NeurIPS 2026i-DEQ: A stable inertial Deep Equilibrium model for image restoration
413. NeurIPS 2026I-Perceive: A Foundation Model for Vision-Language Active Perception
414. NeurIPS 2026IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow
415. NeurIPS 2026IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
416. NeurIPS 2026Identifiable Feedback-Controlled Latent Flow for Unpaired Single-cell Spatio-Temporal Dynamics
417. NeurIPS 2026iDETR: Implicit DETR for Tiny Object Detection
418. NeurIPS 2026Implicit Neural Representations for Variational Problems on Graphons
419. NeurIPS 2026Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects
420. NeurIPS 2026Improved Sample Complexity for Markov Games via Variance-Aware Bandit Learning
421. NeurIPS 2026In STeP: Speculative Tensor Parallelism for Concurrent Heterogeneous Inference of LLMs
422. NeurIPS 2026Incremental Learning in Transformers for In-Context Associative Recall
423. NeurIPS 2026INEUS: Iterative Neural Solver for High-Dimensional PIDEs
424. NeurIPS 2026Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
425. NeurIPS 2026Integrating digital twins with randomized experiments
426. NeurIPS 2026Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving
427. NeurIPS 2026Intrinsic Riemannian Cross-covariance for Manifold-valued Random Objects
428. NeurIPS 2026Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators
429. NeurIPS 2026Inverse Modeling of Neural Recordings via Differentiable Biophysical Simulation
430. NeurIPS 2026Invertible Logits Transformation for Accuracy-Preserving Post-Hoc Uncertainty Calibration
431. NeurIPS 2026InvestigationWorlds: An Agentic Environment for Legal Investigation
432. NeurIPS 2026INVITA-WheatFieldState: A Real-World Benchmark for Crop-State Estimation in Wheat Field Trials
433. NeurIPS 2026Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry
434. NeurIPS 2026Is Memorization Actually Necessary for Generalization
435. NeurIPS 2026Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing
436. NeurIPS 2026It Cancels: O(r²) Cholesky Updates for Whitened Operators
437. NeurIPS 2026It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
438. NeurIPS 2026Iterative Gumbel Planning for Continuous Control
439. NeurIPS 2026Iterative Latent Refinement for Value Learning in Offline Goal-Conditioned RL
440. NeurIPS 2026Itô maps for any-step SDEs
441. NeurIPS 2026Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attributions
442. NeurIPS 2026JODA: Composable Joint Dynamics for Articulated Objects
443. NeurIPS 2026Joint Certification for Attributed Graphs: Beyond Topology-Only Robustness
444. NeurIPS 2026Joint Sequence--Vocabulary Selection for Efficient LLM Distillation
445. NeurIPS 2026Just Ramp-Up: Debiasing Regression-based Estimator for A/B Tests under Network Interference
446. NeurIPS 2026KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
447. NeurIPS 2026Kernel Selection is Model Selection: A Unified Complexity-Penalised Approach for MMD Two-Sample Tests
448. NeurIPS 2026KINDER: Kernel-based Independence for Fair Representation Learning via Prototype-space Erasure
449. NeurIPS 2026KL for a KL: On-Policy Distillation with Control Variate Baseline
450. NeurIPS 2026Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use

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.