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

1,214 papers, page 20 of 25

951. ICML 2024SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
952. ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
953. ICML 2024SPADE: Sparsity-Guided Debugging for Deep Neural Networks
954. ICML 2024Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
955. ICML 2024Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions
956. ICML 2024Spider: A Unified Framework for Context-dependent Concept Segmentation
957. ICML 2024Spike Distance Function as a Learning Objective for Spike Prediction
958. ICML 2024SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
959. ICML 2024Stochastic Q-learning for Large Discrete Action Spaces
960. ICML 2024Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
961. ICML 2024Submodular framework for structured-sparse optimal transport
962. ICML 2024Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
963. ICML 2024SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment
964. ICML 2024Tandem Transformers for Inference Efficient LLMs
965. ICML 2024Taylor Videos for Action Recognition
966. ICML 2024TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
967. ICML 2024TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
968. ICML 2024The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
969. ICML 2024The Merit of River Network Topology for Neural Flood Forecasting
970. ICML 2024Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
971. ICML 2024Thermometer: Towards Universal Calibration for Large Language Models
972. ICML 2024TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression
973. ICML 2024Total Variation Floodgate for Variable Importance Inference in Classification
974. ICML 2024Towards Certified Unlearning for Deep Neural Networks
975. ICML 2024Towards Realistic Model Selection for Semi-supervised Learning
976. ICML 2024Trainable Transformer in Transformer
977. ICML 2024Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
978. ICML 2024Triple Changes Estimator for Targeted Policies
979. ICML 2024Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
980. ICML 2024Trust Regions for Explanations via Black-Box Probabilistic Certification
981. ICML 2024TSLANet: Rethinking Transformers for Time Series Representation Learning
982. ICML 2024Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
983. ICML 2024ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
984. ICML 2024Uncertainty for Active Learning on Graphs
985. ICML 2024Unveiling the Potential of AI for Nanomaterial Morphology Prediction
986. ICML 2024Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
987. ICML 2024Variational Inference with Coverage Guarantees in Simulation-Based Inference
988. ICML 2024Variational Learning is Effective for Large Deep Networks
989. ICML 2024Variational Linearized Laplace Approximation for Bayesian Deep Learning
990. ICML 2024Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
991. ICML 2024Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models
992. ICML 2024Weisfeiler Leman for Euclidean Equivariant Machine Learning
993. ICML 2024What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
994. ICML 2024Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
995. ICML 2024xT: Nested Tokenization for Larger Context in Large Images
996. ICML 2024Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
997. ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
998. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
999. ICML 2023A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
1000. ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems

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.