David Belius

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Convolutional Neural Networks

Kernel Ridge Regression

Additional Features

Statistical Physics

Top Venues

IEEE Trans. Computational Imaging

Publications

Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum. CoRR (2024)
Tin Sum Cheng, Aurélien Lucchi, Ivan Dokmanic, Anastasis Kratsios, David Belius
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression. CoRR (2023)
Antoine Maillard, Afonso S. Bandeira, David Belius, Ivan Dokmanic, Shuta Nakajima
Injectivity of ReLU networks: perspectives from statistical physics. CoRR (2023)
Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, Ivan Dokmanic, David Belius
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression. NeurIPS (2023)
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
Learning Multiscale Convolutional Dictionaries for Image Reconstruction. IEEE Trans. Computational Imaging 8 (2022)
Maxim Samarin, Volker Roth, David Belius
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study. UAI (2022)
Maxim Samarin, Volker Roth, David Belius
On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures. CoRR (2020)
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning. CoRR (2020)