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 3 of 25

101. ICML 2026DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning
102. ICML 2026DFlash: Block Diffusion for Flash Speculative Decoding
103. ICML 2026Discontinuous Galerkin Neural Operator for Pathology Defocus Deblurring
104. ICML 2026Discrete Survival Knowledge Distillation for Competing Risks Analysis
105. ICML 2026Distribution Alignment for One-Shot Federated Learning via Optimal Transport
106. ICML 2026DLLMQuant: A Post-Training Quantization Framework Tailored for Diffusion-Based Large Language Models
107. ICML 2026DOT-MoE: Differentiable Optimal Transport for MoEfication
108. ICML 2026Drop-in Circulant Structural Priors for Transformer Decoding of Cyclic Codes
109. ICML 2026Dynamic Stratified Contrastive Learning with Upstream Augmentation for MILP Branching
110. ICML 2026Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals
111. ICML 2026Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
112. ICML 2026ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
113. ICML 2026Edit-Based Refinement for Parallel Masked Diffusion Language Models
114. ICML 2026Efficient Mismatch-Tolerant Coding for Model-Driven Compression
115. ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
116. ICML 2026Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
117. ICML 2026EntroKV: Entropy-Guided Dynamic Budget Allocation for KV-Cache Compression
118. ICML 2026EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
119. ICML 2026EquiCAD: A Geometric Equivariant Neural Network for 3D Shape Classification
120. ICML 2026Equilibrium Propagation for Non-Conservative Systems
121. ICML 2026Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
122. ICML 2026Euler–Poincaré Neural Dynamics: A Geometric-Mechanics Framework for Scientific Simulation
123. ICML 2026Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights
124. ICML 2026EvReflection: Event-Driven Micro-Dynamics for Reflection Removal
125. ICML 2026Exact Functional ANOVA Decomposition for Categorical Inputs Models
126. ICML 2026Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
127. ICML 2026Exploiting weight-space symmetries for approximating curvature
128. ICML 2026Expressivity-Efficiency Tradeoffs for Hybrid Sequence Models
129. ICML 2026Factor-Wise Homogeneity of Slot-Attention for Continual Object-Centric Learning
130. ICML 2026FAFO: Lossy KV Cache Compression for Lossless Inference Acceleration via Draftless Fumble Decoding
131. ICML 2026FedScar: Correcting Geometric Bias for Flatness-Consistent Federated Learning
132. ICML 2026FedUSD: Unbiased Synthetic Data for Federated Learning
133. ICML 2026FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting
134. ICML 2026FlashOptim: Optimizers for Memory-Efficient Training
135. ICML 2026FlatLab: A Unified Methodology Framework and Simulation-Based Benchmark for Robotic Manipulation of Flat Objects
136. ICML 2026Flow Matching Calibration for Simulation-Based Inference under Model Misspecification
137. ICML 2026Flowers: A Warp Drive for Neural PDE Solvers
138. ICML 2026Focusing: View-Consistent Sparse Voxels for Efficient 3D VAE Training
139. ICML 2026ForensicConcept: Transferable Forensic Concepts for AIGI Detection
140. ICML 2026Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
141. ICML 2026FRACTAL: State Space Model with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
142. ICML 2026Frequency Matching in Spiking Neural Networks for mmWave Sensing
143. ICML 2026From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
144. ICML 2026FunCQNet: A Functional Censored Quantile Neural Network for Predicting Long-Term Post-Transplant Kidney Survival
145. ICML 2026FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation
146. ICML 2026GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function
147. ICML 2026Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs
148. ICML 2026Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls
149. ICML 2026GEM: Geometric Entropy Mixing for Optimal LLM Data Curation
150. ICML 2026Geometric Coherence Learning for Structuring Value Functions in Plain MDPs

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.