Publications associées à Effects of spatiotemporal variations on metabolic control: approximate analysis using (log)linear kinetic models

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Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

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

Effects of spatiotemporal variations on metabolic control: approximate analysis using (log)linear kinetic models

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

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

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Graph generative deep learning models with an application to circuit topologies

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

Efficient Continual Finite-Sum Minimization

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

Iterative removal of sources to model the turbulent electromotive force

Residual-based attention in physics-informed neural networks

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

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

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

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Graph generative deep learning models with an application to circuit topologies

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

Efficient Continual Finite-Sum Minimization

Iterative removal of sources to model the turbulent electromotive force

Residual-based attention in physics-informed neural networks

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

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models