Kernel Fusion papers, 2023–2026

Key findings

• Kernel Fusion fell from 51 papers in 2023 to 48 in 2026, so interest is cooling.
• NeurIPS publishes the most Kernel Fusion work: 73 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Sensor Fusion: papers tagged with both rose from 2 in 2023 to 12 in 2026.
• Among the 5 topics under Hardware and Compilers, it ranks #3 by 2026 paper count; the fastest grower in the group, Edge Inference, is up 4.0x versus 0.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
• ICML 2026Asymmetric conformal prediction with penalized kernel sum-of-squares
• ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
• CVPR 2026Bridging RGB and Hematoxylin Components An Interleaved Guidance and Fusion
• NeurIPS 2025Beyond Benign Overfitting in Nadaraya-Watson Interpolators
• ICML 2025Equivariant Neural Tangent Kernels
• ICLR 2025DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
• CVPR 2025Parameterized Blur Kernel Prior Learning for Local Motion Deblurring
• NeurIPS 2024Efficient Convex Algorithms for Universal Kernel Learning
• ICML 2024Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
• ICLR 2024Convolutional Deep Kernel Machines
• CVPR 2024Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion
• NeurIPS 2023CosNet: A Generalized Spectral Kernel Network
• ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
• ICLR 2023A Kernel Perspective of Skip Connections in Convolutional Networks
• CVPR 2023Compacting Binary Neural Networks by Sparse Kernel Selection
• NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
• ICML 2026Even Faster Kernel Matrix Linear Algebra via Density Estimation
• ICLR 2026LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
• CVPR 2026CryoKRAQEN Kernel-Regularized Annealing for Quantized Embedding Networks in Cryo-EM Heterogeneous

All Kernel Fusion papers

25 papers, page 1 of 1

1. NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
2. NeurIPS 2025Beyond Benign Overfitting in Nadaraya-Watson Interpolators
3. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
4. NeurIPS 2025Computational Efficiency under Covariate Shift in Kernel Ridge Regression
5. NeurIPS 2025Conditional Distribution Compression via the Kernel Conditional Mean Embedding
6. NeurIPS 2025Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
7. NeurIPS 2025Fast Training of Large Kernel Models with Delayed Projections
8. NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models
9. NeurIPS 2025FlashMoE: Fast Distributed MoE in a Single Kernel
10. NeurIPS 2025Hierarchical Shortest-Path Graph Kernel Network
11. NeurIPS 2025Just One Layer Norm Guarantees Stable Extrapolation
12. NeurIPS 2025Kernel conditional tests from learning-theoretic bounds
13. NeurIPS 2025Kernel von Mises Formula of the Influence Function
14. NeurIPS 2025Learning Provably Improves the Convergence of Gradient Descent
15. NeurIPS 2025Linearization Explains Fine-Tuning in Large Language Models
16. NeurIPS 2025MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
17. NeurIPS 2025Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
18. NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
19. NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
20. NeurIPS 2025Regularized least squares learning with heavy-tailed noise is minimax optimal
21. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
22. NeurIPS 2025Scalable Signature Kernel Computations via Local Neumann Series Expansions
23. NeurIPS 2025SD-KDE: Score-Debiased Kernel Density Estimation
24. NeurIPS 2025Uncertainty Quantification with the Empirical Neural Tangent Kernel
25. NeurIPS 2025When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product

FAQ

How many Kernel Fusion papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

221 in total: 51 in 2023, 66 in 2024, 56 in 2025, 48 in 2026.

How many Kernel Fusion papers are at NeurIPS 2026?

NeurIPS 2026 has 14 Kernel Fusion papers, versus 25 the year before.

How many Kernel Fusion papers are at ICLR 2026?

ICLR 2026 has 9 Kernel Fusion papers, versus 8 the year before.

How many Kernel Fusion papers are at ICML 2026?

ICML 2026 has 13 Kernel Fusion papers, versus 14 the year before.

How many Kernel Fusion papers are at CVPR 2026?

CVPR 2026 has 12 Kernel Fusion papers, versus 9 the year before.

Which conference publishes the most Kernel Fusion papers?

NeurIPS, with 73 papers from 2023 to 2026.