|
Workshop
|
|
Regularization by Denoising Diffusion Process for MRI Reconstruction
Batu Ozturkler · Morteza Mardani · Arash Vahdat · Jan Kautz · John Pauly
|
|
|
Workshop
|
|
Unnormalized Density Estimation with Root Sobolev Norm Regularization
Mark Kozdoba · Binyamin Perets · Shie Mannor
|
|
|
Workshop
|
|
Provably Convergent Data-Driven Convex-Nonconvex Regularization
Zakhar Shumaylov · Jeremy Budd · Subhadip Mukherjee · Carola-Bibiane Schönlieb
|
|
|
Workshop
|
|
CryoSTAR: Cryo-EM Heterogeneous Reconstruction of Atomic Models with Structural Regularization
Yi Zhou · Yilai Li · Jing Yuan · Fei YE · Quanquan Gu
|
|
|
Workshop
|
|
Unnormalized Density Estimation with Root Sobolev Norm Regularization
Mark Kozdoba · Binyamin Perets · Shie Mannor
|
|
|
Workshop
|
|
Boosting Weakly Convex Ridge Regularizers with Spatial Adaptivity
Sebastian Neumayer · Mehrsa Pourya · Alexis Goujon · Michael Unser
|
|
|
Workshop
|
|
Understanding the Role of Noisy Statistics in the Regularization Effect of Batch Normalization
Atli Kosson · Dongyang Fan · Martin Jaggi
|
|
|
Workshop
|
|
Refined Tensorial Radiance Field: Harnessing Coordinate-Based Networks for Novel View Synthesis from Sparse Inputs
Mingyu Kim · Kim Jun-Seong · Se-Young Yun · Jin-Hwa Kim
|
|
|
Workshop
|
|
deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning
Sankalp Gilda
|
|
|
Workshop
|
|
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
Yuqing Wang · Zhenghao Xu · Tuo Zhao · Molei Tao
|
|
|
Workshop
|
|
Identifying regularization schemes that make the feature attributions faithful
Julius Adebayo · Samuel Stanton · Simon Kelow · Michael Maser · Richard Bonneau · Vladimir Gligorijevic · Kyunghyun Cho · Stephen Ra · Nathan Frey
|
|
|
Workshop
|
|
What’s in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang · Sam Buchanan · Jeremias Sulam
|
|
