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

228 papers, page 3 of 5

101. ICLR 2025Injective flows for star-like manifolds
102. ICLR 2025Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
103. ICLR 2025Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
104. ICLR 2025Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs
105. ICLR 2025Isometric Regularization for Manifolds of Functional Data
106. ICLR 2025K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models
107. ICLR 2025kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers
108. ICLR 2025Language Imbalance Driven Rewarding for Multilingual Self-improving
109. ICLR 2025Lawma: The Power of Specialization for Legal Annotation
110. ICLR 2025Layerwise Recurrent Router for Mixture-of-Experts
111. ICLR 2025Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods
112. ICLR 2025Learning Harmonized Representations for Speculative Sampling
113. ICLR 2025Learning LLM-as-a-Judge for Preference Alignment
114. ICLR 2025Learning local equivariant representations for quantum operators
115. ICLR 2025Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
116. ICLR 2025Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
117. ICLR 2025Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
118. ICLR 2025Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
119. ICLR 2025Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
120. ICLR 2025Looking Inward: Language Models Can Learn About Themselves by Introspection
121. ICLR 2025ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
122. ICLR 2025MCNC: Manifold-Constrained Reparameterization for Neural Compression
123. ICLR 2025MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
124. ICLR 2025MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations
125. ICLR 2025MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
126. ICLR 2025Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
127. ICLR 2025Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
128. ICLR 2025Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
129. ICLR 2025MiniPLM: Knowledge Distillation for Pre-training Language Models
130. ICLR 2025Mixture of Attentions For Speculative Decoding
131. ICLR 2025MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
132. ICLR 2025MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA
133. ICLR 2025MoDeGPT: Modular Decomposition for Large Language Model Compression
134. ICLR 2025Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
135. ICLR 2025MUSE: Machine Unlearning Six-Way Evaluation for Language Models
136. ICLR 2025Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
137. ICLR 2025Neural Approximate Mirror Maps for Constrained Diffusion Models
138. ICLR 2025Neural Functions for Learning Periodic Signal
139. ICLR 2025New Algorithms for the Learning-Augmented k-means Problem
140. ICLR 2025No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
141. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
142. ICLR 2025NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
143. ICLR 2025ODE-based Smoothing Neural Network for Reinforcement Learning Tasks
144. ICLR 2025OmniRe: Omni Urban Scene Reconstruction
145. ICLR 2025Operator Deep Smoothing for Implied Volatility
146. ICLR 2025Optimal Transport for Time Series Imputation
147. ICLR 2025Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
148. ICLR 2025Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
149. ICLR 2025P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS
150. ICLR 2025Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy

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.