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

1,405 papers, page 23 of 29

1101. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
1102. NeurIPS 2025Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards
1103. NeurIPS 2025Improved Training Technique for Shortcut Models
1104. NeurIPS 2025Improving Bilinear RNN with Closed-loop Control
1105. NeurIPS 2025INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
1106. NeurIPS 2025Inductive Domain Transfer In Misspecified Simulation-Based Inference
1107. NeurIPS 2025InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
1108. NeurIPS 2025Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
1109. NeurIPS 2025InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
1110. NeurIPS 2025Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
1111. NeurIPS 2025Integration Matters for Learning PDEs with Backwards SDEs
1112. NeurIPS 2025Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
1113. NeurIPS 2025Inverse Methods for Missing Data Imputation
1114. NeurIPS 2025Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
1115. NeurIPS 2025Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
1116. NeurIPS 2025Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
1117. NeurIPS 2025KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
1118. NeurIPS 2025KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
1119. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
1120. NeurIPS 2025KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
1121. NeurIPS 2025LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents
1122. NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
1123. NeurIPS 2025Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
1124. NeurIPS 2025Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
1125. NeurIPS 2025Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
1126. NeurIPS 2025LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
1127. NeurIPS 2025LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models
1128. NeurIPS 2025Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
1129. NeurIPS 2025Learnable Sampler Distillation for Discrete Diffusion Models
1130. NeurIPS 2025Learned Prefix Caching for Efficient LLM Inference
1131. NeurIPS 2025Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
1132. NeurIPS 2025Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
1133. NeurIPS 2025Learning Differential Pyramid Representation for Tone Mapping
1134. NeurIPS 2025Learning Dynamics of RNNs in Closed-Loop Environments
1135. NeurIPS 2025Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
1136. NeurIPS 2025Learning Neural Exposure Fields for View Synthesis
1137. NeurIPS 2025Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free
1138. NeurIPS 2025Learning Repetition-Invariant Representations for Polymer Informatics
1139. NeurIPS 2025Learning Simple Interpolants for Linear Integer Arithmetic
1140. NeurIPS 2025Learning Skill-Attributes for Transferable Assessment in Video
1141. NeurIPS 2025Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs
1142. NeurIPS 2025Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance
1143. NeurIPS 2025Learning to Clean: Reinforcement Learning for Noisy Label Correction
1144. NeurIPS 2025Learning to Condition: A Neural Heuristic for Scalable MPE Inference
1145. NeurIPS 2025Learning to Insert for Constructive Neural Vehicle Routing Solver
1146. NeurIPS 2025Learning to Instruct for Visual Instruction Tuning
1147. NeurIPS 2025Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
1148. NeurIPS 2025Learning to Zoom with Anatomical Relations for Medical Structure Detection
1149. NeurIPS 2025Learning-Augmented Streaming Algorithms for Correlation Clustering
1150. NeurIPS 2025Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs

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.