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

2,199 papers, page 40 of 44

1951. NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
1952. NeurIPS 2026Readiness-Aware Sample Selection for Noisy Labels with Class Imbalance
1953. NeurIPS 2026RECIPE: Learning to Rank Complete Precursor Sets for Inorganic Retrosynthesis
1954. NeurIPS 2026Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
1955. NeurIPS 2026RecoverBench: A Systematic Benchmark for Error Recovery in Robotic Manipulation
1956. NeurIPS 2026Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing
1957. NeurIPS 2026Reduced Cost Influence Functions for Predict-then-Optimize under Noisy Data
1958. NeurIPS 2026ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
1959. NeurIPS 2026Reformulating Neural Operators in $d+1$ Dimensions for Embedding Evolution
1960. NeurIPS 2026ReFPO: Reflow Regularization for Flow Matching Policy Gradients
1961. NeurIPS 2026REGATE: Confidence-Calibrated Integration of Temporally-Aligned Exogenous Texts for Dynamic Graphs
1962. NeurIPS 2026RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
1963. NeurIPS 2026Regularization Paths for Continuous DAG Learning
1964. NeurIPS 2026Rehearsal-Free Statistical Prototype Regularization for Federated Incremental Learning
1965. NeurIPS 2026RelAgent: LLM Agents as Data Scientists for Relational Learning
1966. NeurIPS 2026Relevance Is Not Necessity: Selecting the Necessary API Set for Tool-Using LLMs
1967. NeurIPS 2026RelFlexformer: Efficient Attention Transformers for Integrable Relative Positional Encodings
1968. NeurIPS 2026Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
1969. NeurIPS 2026ReorgGS: Equivalent Distribution Reorganization for 3D Gaussian Splatting
1970. NeurIPS 2026Replicas-as-Variables: A Planner for Throughput-Optimal Routing in LLM Deployment
1971. NeurIPS 2026Representation Forcing for Bottleneck-Free Unified Multimodal Models
1972. NeurIPS 2026Representation Preconditioning for Efficient Diffusion Model Training
1973. NeurIPS 2026ReSCUE: Re-translation with Sentence Commitment for Unsegmented Long-Form Simultaneous Sign Language Translation
1974. NeurIPS 2026Resilient Latent Readouts for Long-Context Question Answering
1975. NeurIPS 2026ResKV: Residual-based Channel-wise Unstructured Pruning for KV Cache Compression
1976. NeurIPS 2026Retain-Neutral Surrogates for Min-Max Unlearning
1977. NeurIPS 2026Rethinking Attention in Depth for Operator Learning
1978. NeurIPS 2026Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?
1979. NeurIPS 2026Rethinking Softmax Attention: Polynomial Activations for Transformers
1980. NeurIPS 2026Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction
1981. NeurIPS 2026RETR: A Structure-Preserving RGB-Event Transformer for Robust 3D Lane Detection
1982. NeurIPS 2026Revisiting Autoregressive GCNs for Vehicle Routing Problems
1983. NeurIPS 2026Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios
1984. NeurIPS 2026Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction
1985. NeurIPS 2026Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
1986. NeurIPS 2026Reviving the Discarded High-Resolution Feature for Transformer-Based Tiny Object Detection
1987. NeurIPS 2026Reward Inflation: A Healthy Stimulus for Reinforcement Learning
1988. NeurIPS 2026Reward Is Not a Universal Interface for Generative Reinforcement Learning
1989. NeurIPS 2026Reward-Estimated Hypergradient for Bilevel Reinforcement Learning with Black-Box Follower
1990. NeurIPS 2026RGF: Recursive Generative Framework for the Edge-Cut Separable Problems
1991. NeurIPS 2026RL Excursions during Pre-training: How early is too early for on-policy learning?
1992. NeurIPS 2026RL-Guided Contraction of Symbolic Tensor Networks for Quantum Circuit Equivalence
1993. NeurIPS 2026Robust Amortized Simulation-Based Inference via Learned Error Models
1994. NeurIPS 2026Robust Approximate Nearest Neighbor Search for Any Dataset
1995. NeurIPS 2026Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
1996. NeurIPS 2026Robust Offline Reinforcement Learning against Out-of-Distribution Dynamics in Autonomous Driving
1997. NeurIPS 2026Robust Residual Correction via Selective Deployment for Time Series Forecasting
1998. NeurIPS 2026ROCKET: Rapid Optimization via Calibration-guided Knapsack-Enhanced Truncation for Efficient Model Compression
1999. NeurIPS 2026ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
2000. NeurIPS 2026RSPO: Reasoning-Supervised Policy Optimization for Long-Tail Autonomous Driving

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.