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

176 papers, page 3 of 4

101. ICLR 2024Neural Auto-designer for Enhanced Quantum Kernels
102. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
103. ICLR 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
104. ICLR 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
105. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
106. ICLR 2024On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
107. ICLR 2024On the Learnability of Watermarks for Language Models
108. ICLR 2024On the Limitations of Temperature Scaling for Distributions with Overlaps
109. ICLR 2024On the Reliability of Watermarks for Large Language Models
110. ICLR 2024On the Stability of Expressive Positional Encodings for Graphs
111. ICLR 2024One Forward is Enough for Neural Network Training via Likelihood Ratio Method
112. ICLR 2024Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime
113. ICLR 2024Oracle Efficient Algorithms for Groupwise Regret
114. ICLR 2024Out-of-Variable Generalisation for Discriminative Models
115. ICLR 2024OWL: A Large Language Model for IT Operations
116. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
117. ICLR 2024Path Choice Matters for Clear Attributions in Path Methods
118. ICLR 2024Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
119. ICLR 2024Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
120. ICLR 2024PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
121. ICLR 2024Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
122. ICLR 2024Plugin estimators for selective classification with out-of-distribution detection
123. ICLR 2024Polynomial Width is Sufficient for Set Representation with High-dimensional Features
124. ICLR 2024Post-hoc bias scoring is optimal for fair classification
125. ICLR 2024Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
126. ICLR 2024Prompt Gradient Projection for Continual Learning
127. ICLR 2024Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
128. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
129. ICLR 2024ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
130. ICLR 2024Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
131. ICLR 2024Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
132. ICLR 2024Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
133. ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
134. ICLR 2024SE(3)-Stochastic Flow Matching for Protein Backbone Generation
135. ICLR 2024Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
136. ICLR 2024SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
137. ICLR 2024SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
138. ICLR 2024Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
139. ICLR 2024Small-scale proxies for large-scale Transformer training instabilities
140. ICLR 2024SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
141. ICLR 2024Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
142. ICLR 2024Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
143. ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
144. ICLR 2024Sparse MoE with Language Guided Routing for Multilingual Machine Translation
145. ICLR 2024Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
146. ICLR 2024Sparsistency for inverse optimal transport
147. ICLR 2024Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
148. ICLR 2024SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
149. ICLR 2024Stochastic Controlled Averaging for Federated Learning with Communication Compression
150. ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right

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.