LFA applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | van Betteray, Antonia, Rottmann, Matthias, Kahl, Karsten |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
by: van Betteray, Antonia, et al.
Published: (2025)
by: van Betteray, Antonia, et al.
Published: (2025)
Singular Value Decomposition on Kronecker Adaptation for Large Language Model
by: Chong, Yee Hin, et al.
Published: (2025)
by: Chong, Yee Hin, et al.
Published: (2025)
Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs
by: Shashidhar, Vishal, et al.
Published: (2026)
by: Shashidhar, Vishal, et al.
Published: (2026)
Invisible Backdoor Attack Through Singular Value Decomposition
by: Chen, Wenmin, et al.
Published: (2024)
by: Chen, Wenmin, et al.
Published: (2024)
GADPN: Graph Adaptive Denoising and Perturbation Networks via Singular Value Decomposition
by: Deng, Hao, et al.
Published: (2026)
by: Deng, Hao, et al.
Published: (2026)
EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
by: Nasiri, Hamid, et al.
Published: (2025)
by: Nasiri, Hamid, et al.
Published: (2025)
Coefficient Decomposition for Spectral Graph Convolution
by: Huang, Feng, et al.
Published: (2024)
by: Huang, Feng, et al.
Published: (2024)
Bilinear Convolution Decomposition for Causal RL Interpretability
by: Oozeer, Narmeen, et al.
Published: (2024)
by: Oozeer, Narmeen, et al.
Published: (2024)
Phase-Aware Deep Learning with Complex-Valued CNNs for Audio Signal Applications
by: Agrawal, Naman
Published: (2025)
by: Agrawal, Naman
Published: (2025)
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
by: Meng, Fanxu, et al.
Published: (2024)
by: Meng, Fanxu, et al.
Published: (2024)
A Generalized Singular Value Theory for Neural Networks
by: Brown, Brian Charles, et al.
Published: (2026)
by: Brown, Brian Charles, et al.
Published: (2026)
Efficient Hyperparameter Importance Assessment for CNNs
by: Wang, Ruinan, et al.
Published: (2024)
by: Wang, Ruinan, et al.
Published: (2024)
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
by: Wi, Hyowon, et al.
Published: (2025)
by: Wi, Hyowon, et al.
Published: (2025)
On The Potential of The Fractal Geometry and The CNNs Ability to Encode it
by: Zini, Julia El, et al.
Published: (2024)
by: Zini, Julia El, et al.
Published: (2024)
FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)
by: Zhang, Qianru, et al.
Published: (2025)
FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
by: Li, Jiaoyang, et al.
Published: (2025)
by: Li, Jiaoyang, et al.
Published: (2025)
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
by: Nieradzik, Lars, et al.
Published: (2024)
by: Nieradzik, Lars, et al.
Published: (2024)
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs
by: Tousside, Basile, et al.
Published: (2026)
by: Tousside, Basile, et al.
Published: (2026)
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
by: Cheng, Guanjie, et al.
Published: (2025)
by: Cheng, Guanjie, et al.
Published: (2025)
IoMT-based Automated Leukemia Classification using CNN and Higher Order Singular Value
by: Marzijarani, Shabnam Bagheri, et al.
Published: (2025)
by: Marzijarani, Shabnam Bagheri, et al.
Published: (2025)
A Survey on Knowledge Editing of Neural Networks
by: Mazzia, Vittorio, et al.
Published: (2023)
by: Mazzia, Vittorio, et al.
Published: (2023)
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
by: Ireland, David, et al.
Published: (2024)
by: Ireland, David, et al.
Published: (2024)
Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
by: Szarvas, Bálint László, et al.
Published: (2025)
by: Szarvas, Bálint László, et al.
Published: (2025)
Spectral Surgery: Training-Free Refinement of LoRA via Gradient-Guided Singular Value Reweighting
by: Tian, Zailong, et al.
Published: (2026)
by: Tian, Zailong, et al.
Published: (2026)
Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation
by: Zhang, Wenbo, et al.
Published: (2025)
by: Zhang, Wenbo, et al.
Published: (2025)
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
by: Yang, Runze, et al.
Published: (2025)
by: Yang, Runze, et al.
Published: (2025)
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
by: Wen, Yuxiao, et al.
Published: (2024)
by: Wen, Yuxiao, et al.
Published: (2024)
Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition
by: Chrisman, Brianna, et al.
Published: (2025)
by: Chrisman, Brianna, et al.
Published: (2025)
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
by: Ladner, Tobias, et al.
Published: (2024)
by: Ladner, Tobias, et al.
Published: (2024)
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention
by: Zhou, Xinxing, et al.
Published: (2024)
by: Zhou, Xinxing, et al.
Published: (2024)
Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets
by: Dixen, Laurits, et al.
Published: (2026)
by: Dixen, Laurits, et al.
Published: (2026)
The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
by: Li, Beibei
Published: (2025)
by: Li, Beibei
Published: (2025)
To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders
by: Bosello, Michael, et al.
Published: (2021)
by: Bosello, Michael, et al.
Published: (2021)
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)
by: Tejeda, Yansel Gonzalez, et al.
Published: (2024)
by: Tejeda, Yansel Gonzalez, et al.
Published: (2024)
Efficient CNNs via Passive Filter Pruning
by: Singh, Arshdeep, et al.
Published: (2023)
by: Singh, Arshdeep, et al.
Published: (2023)
Homomorphic Mappings for Value-Preserving State Aggregation in Markov Decision Processes
by: Zhao, Shuo, et al.
Published: (2025)
by: Zhao, Shuo, et al.
Published: (2025)
Analysis of Fourier Neural Operators via Effective Field Theory
by: Kim, Taeyoung
Published: (2025)
by: Kim, Taeyoung
Published: (2025)
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
by: Hwang, Inwoo, et al.
Published: (2024)
by: Hwang, Inwoo, et al.
Published: (2024)
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
by: Nematirad, Reza, et al.
Published: (2025)
by: Nematirad, Reza, et al.
Published: (2025)
Similar Items
-
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
by: van Betteray, Antonia, et al.
Published: (2025) -
Singular Value Decomposition on Kronecker Adaptation for Large Language Model
by: Chong, Yee Hin, et al.
Published: (2025) -
Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs
by: Shashidhar, Vishal, et al.
Published: (2026) -
Invisible Backdoor Attack Through Singular Value Decomposition
by: Chen, Wenmin, et al.
Published: (2024) -
GADPN: Graph Adaptive Denoising and Perturbation Networks via Singular Value Decomposition
by: Deng, Hao, et al.
Published: (2026)