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

363 papers, page 1 of 8

1. ICML 2026(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
2. ICML 2026$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
3. ICML 2026$\mathcal{O}(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant Function
4. ICML 2026$\phi$-Balancing for Mixture-of-Experts Training
5. ICML 2026$\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained Optimizers
6. ICML 2026A Bi-metric Framework for Efficient Nearest Neighbor Search
7. ICML 2026A Direct Approach for Handling Contextual Bandits with Latent State Dynamics
8. ICML 2026A Direct Second-Order Method for Solving Two-Player Zero-Sum Games
9. ICML 2026A Hypertoroidal Covering for Perfect Color Equivariance
10. ICML 2026A KL-regularization framework for learning to plan with adaptive priors
11. ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
12. ICML 2026A proximal ADMM for multiblock problems with block anti-upper triangular constraints
13. ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
14. ICML 2026A Solver-Free Training Method for Predict-then-Optimize
15. ICML 2026A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
16. ICML 2026A Task-centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
17. ICML 2026A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
18. ICML 2026A Unified Framework for Deep Hypergraph Clustering Beyond Homophily
19. ICML 2026ABSINT-AI: Agentic Heap Abstractions for Abstract Interpretation
20. ICML 2026Active Regression for Single-Index Models with Unknown Link Functions
21. ICML 2026Active Timepoint Selection for Learning Measure-Valued Trajectories
22. ICML 2026AdamO: A Collapse-Suppressed Optimizer for Offline RL
23. ICML 2026Adaptive Bandit Algorithms for Contextual Matching Markets
24. ICML 2026Adaptive Multiscale Binary Expansion Tests for Independence
25. ICML 2026Adaptive Querying with AI Persona Priors
26. ICML 2026Aitchison Embeddings for Learning Compositional Graph Representations
27. ICML 2026Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
28. ICML 2026Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
29. ICML 2026An Asymmetric Latent Factorization-of-Tensors Model for Relation Analysis
30. ICML 2026An Exterior Method for Nonnegative Matrix Factorization
31. ICML 2026An Odd Estimator for Shapley Values
32. ICML 2026AnalogVerifier: A Neuro-Symbolic Framework for Analog Circuit Verification
33. ICML 2026ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
34. ICML 2026Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting
35. ICML 2026Any2Any: Unified Arbitrary Modality Translation for Remote Sensing
36. ICML 2026API: Adaptive Prototype Imputation for Incomplete Multimodal Sentiment Analysis
37. ICML 2026Approximation Bounds for Transformer Networks with Application to Regression
38. ICML 2026Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
39. ICML 2026Asymmetric Contrastive Objectives for Efficient Phenotypic Screening
40. ICML 2026Automatic Layer Selection for Hallucination Detection
41. ICML 2026Avoid What You Know: Divergent Trajectory Balance for GFlowNets
42. ICML 2026Axiomatic Atlas: A Prescriptive Framework for Neural Architecture Design
43. ICML 2026Batch Normalization for Neural Networks on Complex Domains
44. ICML 2026Batched First-Order Methods for Parallel LP Solving in MIP
45. ICML 2026Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes
46. ICML 2026Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
47. ICML 2026Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
48. ICML 2026Beyond Rewards in RL for Cyber Defence
49. ICML 2026Beyond Softmax: A Natural Parameterization for Categorical Random Variables
50. ICML 2026Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services

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.