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

542 papers, page 1 of 11

1. NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
2. NeurIPS 20251000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering
3. NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
4. NeurIPS 202570% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
5. NeurIPS 2025A Clean Slate for Offline Reinforcement Learning
6. NeurIPS 2025A CLT for Polynomial GNNs on Community-Based Graphs
7. NeurIPS 2025A compressive-expressive communication framework for compositional representations
8. NeurIPS 2025A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems
9. NeurIPS 2025A Controllable Examination for Long-Context Language Models
10. NeurIPS 2025A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction
11. NeurIPS 2025A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
12. NeurIPS 2025A Latent Multilayer Graphical Model For Complex, Interdependent Systems
13. NeurIPS 2025A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
14. NeurIPS 2025A Physics-preserved Transfer Learning Method for Differential Equations
15. NeurIPS 2025A Practical Guide for Incorporating Symmetry in Diffusion Policy
16. NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
17. NeurIPS 2025A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
18. NeurIPS 2025A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
19. NeurIPS 2025A Single-Swap Local Search Algorithm for k-Means of Lines
20. NeurIPS 2025A Stable Whitening Optimizer for Efficient Neural Network Training
21. NeurIPS 2025A Sustainable AI Economy Needs Data Deals That Work for Generators
22. NeurIPS 2025A Temporal Difference Method for Stochastic Continuous Dynamics
23. NeurIPS 2025A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
24. NeurIPS 2025A unified framework for establishing the universal approximation of transformer-type architectures
25. NeurIPS 2025A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
26. NeurIPS 2025Accelerated Evolving Set Processes for Local PageRank Computation
27. NeurIPS 2025Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
28. NeurIPS 2025Accelerating data-driven algorithm selection for combinatorial partitioning problems
29. NeurIPS 2025Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
30. NeurIPS 2025ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
31. NeurIPS 2025AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
32. NeurIPS 2025Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
33. NeurIPS 2025Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
34. NeurIPS 2025Activation-Guided Consensus Merging for Large Language Models
35. NeurIPS 2025Active Measurement: Efficient Estimation at Scale
36. NeurIPS 2025Activity Pruning for Efficient Spiking Neural Networks
37. NeurIPS 2025Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
38. NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
39. NeurIPS 2025AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
40. NeurIPS 2025Advancing Expert Specialization for Better MoE
41. NeurIPS 2025AI Testing Should Account for Sophisticated Strategic Behaviour
42. NeurIPS 2025AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
43. NeurIPS 2025AlphaFold Database Debiasing for Robust Inverse Folding
44. NeurIPS 2025AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
45. NeurIPS 2025An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
46. NeurIPS 2025An Effective Levelling Paradigm for Unlabeled Scenarios
47. NeurIPS 2025An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
48. NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
49. NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
50. NeurIPS 2025AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches

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.