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 34 of 44

1651. NeurIPS 2026HeterSEED: Semantics–Structure Decoupling for Heterogeneous Graph Learning under Heterophily
1652. NeurIPS 2026Heuresis: Evaluating Search Strategies for Autonomous Machine Learning Research Agents
1653. NeurIPS 2026Hider–Seeker Self-Play: Geometry-Verifiable Process Rewards for Long-Horizon Visual Search
1654. NeurIPS 2026Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
1655. NeurIPS 2026HiFloat4 Format for Language Model Pre-training on Ascend NPUs
1656. NeurIPS 2026High-dimensional Gaussian Graphical Model Testing for Long-Memory Time Series
1657. NeurIPS 2026High-dimensional Limit of SGD for Diagonal Linear Networks
1658. NeurIPS 2026HIST3R: Rectified State Decomposition from History for Streaming 3D Reconstruction
1659. NeurIPS 2026How Complete Should a Reference Be? A Benchmark Audit for Fluorescence Spot Detection
1660. NeurIPS 2026How Much Information is Needed for Accurate Kalman Filtering?
1661. NeurIPS 2026How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
1662. NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
1663. NeurIPS 2026HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes
1664. NeurIPS 2026Hybrid Neural World Models for Physical Dynamics
1665. NeurIPS 2026Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
1666. NeurIPS 2026HybridCache: Enhancing Prefix Caching for Linear–Softmax Language Models
1667. NeurIPS 2026Hypernetworks for Dynamic Feature Selection
1668. NeurIPS 2026Hyperparameter Transfer for Dense Associative Memories
1669. NeurIPS 2026Hyperspherical Local Margin Retraction for Zero-Shot Instance-Wise Machine Unlearning
1670. NeurIPS 2026HypMoE-ReID: Hyperspherical Mixture-of-Experts for Large Scale Person Re-Identification
1671. NeurIPS 2026i-DEQ: A stable inertial Deep Equilibrium model for image restoration
1672. NeurIPS 2026I-Perceive: A Foundation Model for Vision-Language Active Perception
1673. NeurIPS 2026IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow
1674. NeurIPS 2026IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
1675. NeurIPS 2026Identifiable Feedback-Controlled Latent Flow for Unpaired Single-cell Spatio-Temporal Dynamics
1676. NeurIPS 2026iDETR: Implicit DETR for Tiny Object Detection
1677. NeurIPS 2026Implicit Neural Representations for Variational Problems on Graphons
1678. NeurIPS 2026Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects
1679. NeurIPS 2026Improved Sample Complexity for Markov Games via Variance-Aware Bandit Learning
1680. NeurIPS 2026In STeP: Speculative Tensor Parallelism for Concurrent Heterogeneous Inference of LLMs
1681. NeurIPS 2026Incremental Learning in Transformers for In-Context Associative Recall
1682. NeurIPS 2026INEUS: Iterative Neural Solver for High-Dimensional PIDEs
1683. NeurIPS 2026Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
1684. NeurIPS 2026Integrating digital twins with randomized experiments
1685. NeurIPS 2026Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving
1686. NeurIPS 2026Intrinsic Riemannian Cross-covariance for Manifold-valued Random Objects
1687. NeurIPS 2026Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators
1688. NeurIPS 2026Inverse Modeling of Neural Recordings via Differentiable Biophysical Simulation
1689. NeurIPS 2026Invertible Logits Transformation for Accuracy-Preserving Post-Hoc Uncertainty Calibration
1690. NeurIPS 2026InvestigationWorlds: An Agentic Environment for Legal Investigation
1691. NeurIPS 2026INVITA-WheatFieldState: A Real-World Benchmark for Crop-State Estimation in Wheat Field Trials
1692. NeurIPS 2026Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry
1693. NeurIPS 2026Is Memorization Actually Necessary for Generalization
1694. NeurIPS 2026Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing
1695. NeurIPS 2026It Cancels: O(r²) Cholesky Updates for Whitened Operators
1696. NeurIPS 2026It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
1697. NeurIPS 2026Iterative Gumbel Planning for Continuous Control
1698. NeurIPS 2026Iterative Latent Refinement for Value Learning in Offline Goal-Conditioned RL
1699. NeurIPS 2026Itô maps for any-step SDEs
1700. NeurIPS 2026Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attributions

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.