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

899 papers, page 3 of 18

101. ICLR 2026Expert Divergence Learning for MoE-based Language Models
102. ICLR 2026Exploring State-Space Models for Data-Specific Neural Representations
103. ICLR 2026FACT: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations
104. ICLR 2026FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting
105. ICLR 2026Fast Convergence of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks
106. ICLR 2026FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff
107. ICLR 2026Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks
108. ICLR 2026FlashRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
109. ICLR 2026Flatter Tokens are More Valuable for Speculative Draft Model Training
110. ICLR 2026FLOWER: A Flow-Matching Solver for Inverse Problems
111. ICLR 2026FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
112. ICLR 2026Forge: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention
113. ICLR 2026From atom to space: A region-based readout function for spatial properties of materials
114. ICLR 2026FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
115. ICLR 2026Getting Your LLMs Ready for Reinforcement Learning with Lightweight SFT
116. ICLR 2026GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
117. ICLR 2026Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
118. ICLR 2026GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
119. ICLR 2026H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning
120. ICLR 2026Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning
121. ICLR 2026Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
122. ICLR 2026High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification
123. ICLR 2026High-dimensional Mean-Field Games by Particle-based Flow Matching
124. ICLR 2026High-Probability Bounds for the Last Iterate of Clipped SGD
125. ICLR 2026HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning
126. ICLR 2026Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
127. ICLR 2026HOTA: Hamiltonian framework for Optimal Transport Advection
128. ICLR 2026IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
129. ICLR 2026IDER: IDEMPOTENT EXPERIENCE REPLAY FOR RELIABLE CONTINUAL LEARNING
130. ICLR 2026Implicit Sensing for Fourier Sparse Boolean Functions
131. ICLR 2026Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism
132. ICLR 2026In Good GRACES: Principled Teacher Selection for Knowledge Distillation
133. ICLR 2026In-Context Compositional Q-Learning for Offline Reinforcement Learning
134. ICLR 2026InfGen: Scenario Generation as Next Token Group Prediction
135. ICLR 2026Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study
136. ICLR 2026Invisible Safety Threat: Malicious Finetuning for LLM via Steganography
137. ICLR 2026It's All Just Vectorization: einx, a Universal Notation for Tensor Operations
138. ICLR 2026Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
139. ICLR 2026Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion
140. ICLR 2026Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
141. ICLR 2026Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
142. ICLR 2026KLAS: Using Similarity to Stitch Neural Networks for an Improved Accuracy-Efficiency Tradeoff
143. ICLR 2026KV-Cache Transform Coding for Compact Storage in LLM Inference
144. ICLR 2026LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
145. ICLR 2026Latent Veracity Inference for Identifying Errors in Stepwise Reasoning
146. ICLR 2026Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
147. ICLR 2026LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
148. ICLR 2026LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
149. ICLR 2026Lean Finder: Semantic Search for Mathlib That Understands User Intents
150. ICLR 2026LEAP: Local ECT-Based Learnable Positional Encodings for 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.