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

73 papers, page 2 of 2

51. NeurIPS 2024Nonstationary Sparse Spectral Permanental Process
52. NeurIPS 2024On the Saturation Effects of Spectral Algorithms in Large Dimensions
53. NeurIPS 2024On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
54. NeurIPS 2024Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
55. NeurIPS 2024Self-Distilled Depth Refinement with Noisy Poisson Fusion
56. NeurIPS 2024Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
57. NeurIPS 2024Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
58. NeurIPS 2024Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
59. NeurIPS 2024Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
60. NeurIPS 2023Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
61. NeurIPS 2023ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
62. NeurIPS 2023CosNet: A Generalized Spectral Kernel Network
63. NeurIPS 2023Designing Robust Transformers using Robust Kernel Density Estimation
64. NeurIPS 2023Gradient-Free Kernel Stein Discrepancy
65. NeurIPS 2023Kernel Quadrature with Randomly Pivoted Cholesky
66. NeurIPS 2023Kernel-Based Tests for Likelihood-Free Hypothesis Testing
67. NeurIPS 2023Kernelized Cumulants: Beyond Kernel Mean Embeddings
68. NeurIPS 2023RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
69. NeurIPS 2023Statistical Insights into HSIC in High Dimensions
70. NeurIPS 2023Stein $\Pi$-Importance Sampling
71. NeurIPS 2023The Exact Sample Complexity Gain from Invariances for Kernel Regression
72. NeurIPS 2023Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
73. NeurIPS 2023Variational Weighting for Kernel Density Ratios

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.