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

219 papers, page 1 of 5

1. NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
2. NeurIPS 2023$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput
3. NeurIPS 2023A Bounded Ability Estimation for Computerized Adaptive Testing
4. NeurIPS 2023A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers
5. NeurIPS 2023A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
6. NeurIPS 2023A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
7. NeurIPS 2023A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
8. NeurIPS 2023A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem
9. NeurIPS 2023A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
10. NeurIPS 2023A Unified Approach for Maximizing Continuous DR-submodular Functions
11. NeurIPS 2023A Unified Fast Gradient Clipping Framework for DP-SGD
12. NeurIPS 2023A unified framework for information-theoretic generalization bounds
13. NeurIPS 2023A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
14. NeurIPS 2023A Unified, Scalable Framework for Neural Population Decoding
15. NeurIPS 2023Accessing Higher Dimensions for Unsupervised Word Translation
16. NeurIPS 2023Activity Grammars for Temporal Action Segmentation
17. NeurIPS 2023Adaptive Algorithms for Relaxed Pareto Set Identification
18. NeurIPS 2023Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
19. NeurIPS 2023Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
20. NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
21. NeurIPS 2023Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
22. NeurIPS 2023Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
23. NeurIPS 2023Algorithm Selection for Deep Active Learning with Imbalanced Datasets
24. NeurIPS 2023Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
25. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
26. NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
27. NeurIPS 2023Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
28. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
29. NeurIPS 2023Balanced Training for Sparse GANs
30. NeurIPS 2023Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
31. NeurIPS 2023Bayesian target optimisation for high-precision holographic optogenetics
32. NeurIPS 2023BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
33. NeurIPS 2023Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback
34. NeurIPS 2023Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
35. NeurIPS 2023Bicriteria Approximation Algorithms for the Submodular Cover Problem
36. NeurIPS 2023Break It Down: Evidence for Structural Compositionality in Neural Networks
37. NeurIPS 2023Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
38. NeurIPS 2023CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
39. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
40. NeurIPS 2023Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
41. NeurIPS 2023Computational Guarantees for Doubly Entropic Wasserstein Barycenters
42. NeurIPS 2023Conformal Prediction Sets for Ordinal Classification
43. NeurIPS 2023Constant Approximation for Individual Preference Stable Clustering
44. NeurIPS 2023ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
45. NeurIPS 2023Convergence of Alternating Gradient Descent for Matrix Factorization
46. NeurIPS 2023COOM: A Game Benchmark for Continual Reinforcement Learning
47. NeurIPS 2023Coordinating Distributed Example Orders for Provably Accelerated Training
48. NeurIPS 2023CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
49. NeurIPS 2023Data Selection for Language Models via Importance Resampling
50. NeurIPS 2023Deep Equilibrium Based Neural Operators for Steady-State PDEs

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.