David Belius

12 papers A* 3A 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A thorough reproduction and evaluation of µP.
Trans. Mach. Learn. Res.
Georgios Vlassis, David Belius, Volodymyr Fomichov
2024 A* conf
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression.
NeurIPS
Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius
2024 J jnl
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression.
CoRR
Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius
2024 A* conf
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum.
ICML
Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius
2024 J jnl
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum.
CoRR
Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius
2023 A* conf
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression.
NeurIPS
Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, Ivan Dokmanic, David Belius
2023 J jnl
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression.
CoRR
Tin Sum Cheng, Aurélien Lucchi, Ivan Dokmanic, Anastasis Kratsios, David Belius
2023 J jnl
Injectivity of ReLU networks: perspectives from statistical physics.
CoRR
Antoine Maillard, Afonso S. Bandeira, David Belius, Ivan Dokmanic, Shuta Nakajima
2022 A conf
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study.
UAI
Maxim Samarin, Volker Roth, David Belius
2022 J jnl
Learning Multiscale Convolutional Dictionaries for Image Reconstruction.
IEEE Trans. Computational Imaging
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
2020 J jnl
Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning.
CoRR
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
2020 J jnl
On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures.
CoRR
Maxim Samarin, Volker Roth, David Belius