Publications related to Cracking The Complexity Of Fixed-Point Refinement In Complex Wireless Systems

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

Molecular quantum dynamics simulations are essential for understanding many fundamental phenomena in physics and chemistry. They often require solving the time-dependent Schrödinger equation for molecular nuclei, which is challenging even for medium-sized ...

EPFL2024

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

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In light of the challenges posed by climate change and the goals of the Paris Agreement, electricity generation is shifting to a more renewable and decentralized pattern, while the operation of systems like buildings is increasingly electrified. This calls ...

EPFL2024

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

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Diffusion-based generative methods have proven effective in modeling trajectories with offline datasets. However, they often face computational challenges and can falter in generalization, especially in capturing temporal abstractions for long- horizon tas ...

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Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables

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In wearable sensors, energy efficiency is crucial, particularly during phases where devices are not processing, but rather acquiring biosignals for subsequent analysis. This study focuses on improving the power consumption of wearables during these acquisi ...

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Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

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Conventional techniques for purifying macromolecular conjugates often require complex and costly installments that are inaccessible to most laboratories. In this work, we develop a one-step micropreparative method based on a trilayered polyacrylamide gel e ...

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Iterative removal of sources to model the turbulent electromotive force

Abhijit Bhausaheb Bendre

We describe a novel method to compute the components of dynamo tensors from direct magnetohydrodynamic (MHD) simulations. Our method relies upon an extension and generalization of the standard H & ouml;gbom CLEAN algorithm widely used in radio astronomy to ...

Oxford Univ Press2024

Residual-based attention in physics-informed neural networks

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Driven by the need for more efficient and seamless integration of physical models and data, physics -informed neural networks (PINNs) have seen a surge of interest in recent years. However, ensuring the reliability of their convergence and accuracy remains ...

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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

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

Alfio Quarteroni, Andrea Manzoni

In this paper, we propose a reduced-order modeling strategy for two-way Dirichlet-Neumann parametric coupled problems solved with domain-decomposition (DD) sub-structuring methods. We split the original coupled differential problem into two sub-problems wi ...

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Scalable constrained optimization

Maria-Luiza Vladarean

Modern optimization is tasked with handling applications of increasingly large scale, chiefly due to the massive amounts of widely available data and the ever-growing reach of Machine Learning. Consequently, this area of research is under steady pressure t ...

EPFL2024

Cracking The Complexity Of Fixed-Point Refinement In Complex Wireless Systems

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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

Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

Iterative removal of sources to model the turbulent electromotive force

Residual-based attention in physics-informed neural networks

Efficient Continual Finite-Sum Minimization

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

Scalable constrained optimization

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

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

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

Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables

Iterative removal of sources to model the turbulent electromotive force

Residual-based attention in physics-informed neural networks

Efficient Continual Finite-Sum Minimization

Scalable constrained optimization