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A Signal Processing Approach to Generalized 1-D Total Variation

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f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

A Signal Processing Approach to Generalized 1-D Total Variation

Towards Trustworthy Deep Learning for Image Reconstruction

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High-order geometric integrators for the variational Gaussian wavepacket dynamics and application to vibronic spectra at finite temperature

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Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

Efficient local linearity regularization to overcome catastrophic overfitting

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Graph Chatbot

Towards Trustworthy Deep Learning for Image Reconstruction

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

High-order geometric integrators for the variational Gaussian wavepacket dynamics and application to vibronic spectra at finite temperature

Anomalous dissipation and other non-smooth phenomena in fluids

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Residual-based attention in physics-informed neural networks

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Efficient Continual Finite-Sum Minimization

Efficient local linearity regularization to overcome catastrophic overfitting

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Efficient Continual Finite-Sum Minimization