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

2,111 papers, page 40 of 43

1951. NeurIPS 2023Dynamically Masked Discriminator for GANs
1952. NeurIPS 2023DynPoint: Dynamic Neural Point For View Synthesis
1953. NeurIPS 2023Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
1954. NeurIPS 2023Efficient Subgame Refinement for Extensive-form Games
1955. NeurIPS 2023Energy-based learning algorithms for analog computing: a comparative study
1956. NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
1957. NeurIPS 2023Entropy-based Training Methods for Scalable Neural Implicit Samplers
1958. NeurIPS 2023Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
1959. NeurIPS 2023Error Bounds for Learning with Vector-Valued Random Features
1960. NeurIPS 2023ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
1961. NeurIPS 2023Experimental Designs for Heteroskedastic Variance
1962. NeurIPS 2023Expressivity-Preserving GNN Simulation
1963. NeurIPS 2023False Discovery Proportion control for aggregated Knockoffs
1964. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
1965. NeurIPS 2023Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
1966. NeurIPS 2023Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
1967. NeurIPS 2023Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
1968. NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
1969. NeurIPS 2023Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
1970. NeurIPS 2023Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
1971. NeurIPS 2023Flow Matching for Scalable Simulation-Based Inference
1972. NeurIPS 2023Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
1973. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
1974. NeurIPS 2023Focused Transformer: Contrastive Training for Context Scaling
1975. NeurIPS 2023Formalizing locality for normative synaptic plasticity models
1976. NeurIPS 2023Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
1977. NeurIPS 2023Generalized Weighted Path Consistency for Mastering Atari Games
1978. NeurIPS 2023GEX: A flexible method for approximating influence via Geometric Ensemble
1979. NeurIPS 2023Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
1980. NeurIPS 2023Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
1981. NeurIPS 2023GPEX, A Framework For Interpreting Artificial Neural Networks
1982. NeurIPS 2023Greedy Poisson Rejection Sampling
1983. NeurIPS 2023Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
1984. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
1985. NeurIPS 2023HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
1986. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
1987. NeurIPS 2023HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
1988. NeurIPS 2023Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
1989. NeurIPS 2023IEBins: Iterative Elastic Bins for Monocular Depth Estimation
1990. NeurIPS 2023Implicit Convolutional Kernels for Steerable CNNs
1991. NeurIPS 2023Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
1992. NeurIPS 2023InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
1993. NeurIPS 2023Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
1994. NeurIPS 2023Is Learning in Games Good for the Learners?
1995. NeurIPS 2023KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
1996. NeurIPS 2023Kernel-Based Tests for Likelihood-Free Hypothesis Testing
1997. NeurIPS 2023Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
1998. NeurIPS 2023L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
1999. NeurIPS 2023LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
2000. NeurIPS 2023Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction

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.