Publications related to Time complexity

Scalable angular spectrum propagation

Coherent field propagation is an essential computational tool in optics with applications ranging from computational optics and optical design to iterative field reconstructions. An improvement in the computational speed of current propagation methods is t ...

Washington2023

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution

Giuseppe Carleo, Clemens Giuliani, Alessandro Sinibaldi, Filippo Vicentini

We analyze the accuracy and sample complexity of variational Monte Carlo approaches to simulate the dynamics of many-body quantum systems classically. By systematically studying the relevant stochastic estimators, we are able to: (i) prove that the most us ...

Wien2023

Neural ADMIXTURE for rapid genomic clustering

Albert Dominguez Mantes

Characterizing the genetic structure of large cohorts has become increasingly important as genetic studies extend to massive, increasingly diverse biobanks. Popular methods decompose individual genomes into fractional cluster assignments with each cluster ...

SPRINGERNATURE2023

Learning ground states of gapped quantum Hamiltonians with Kernel Methods

Giuseppe Carleo, Riccardo Rossi, Clemens Giuliani, Filippo Vicentini

Neural network approaches to approximate the ground state of quantum hamiltonians require the numerical solution of a highly nonlinear optimization problem. We introduce a statistical learning approach that makes the optimization trivial by using kernel me ...

Wien2023

Structural impact of the start-up sequence on Pelton turbines lifetime: Analytical prediction and polynomial optimization

Mario Paolone, Elena Vagnoni, Aldo Leonardo Alerci

Hydropower plants play a crucial role in the power system facing ambitious renewable energy targets. Due to their inherent controllability, they are well suited to provide flexibility to the grid. However, an increased flexibility provision leads to a prol ...

2023

Design and manufacture of edible microfluidic logic gates

Dario Floreano, Bokeon Kwak, Shuhang Zhang

Edible robotics is an emerging research field with potential use in environmental, food, and medical scenarios. In this context, the design of edible control circuits could increase the behavioral complexity of edible robots and reduce their dependence on ...

IEEE2023

Universal and adaptive methods for robust stochastic optimization

Ali Kavis

Within the context of contemporary machine learning problems, efficiency of optimization process depends on the properties of the model and the nature of the data available, which poses a significant problem as the complexity of either increases ad infinit ...

EPFL2023

Directional sensitivity of cortical neurons towards TMS induced electric fields

Werner Alfons Hilda Van Geit, Aurélien Tristan Jaquier

We derived computationally efficient average response models of different types of cortical neurons, which are subject to external electric fields from Transcranial Magnetic Stimulation. We used 24 reconstructions of pyramidal cells (PC) from layer 2/3, 24 ...

2023

Parametric Reduced Order Model of a Gas Bearings Supported Rotor

Fabio Nobile, Jürg Alexander Schiffmann, Dimitri Maurice Goutaudier

Gas bearings use pressurized gas as a lubricant to support and guide rotating machinery. These bearings have a number of advantages over traditional lubricated bearings, including higher efficiency in a variety of applications and reduced maintenance requi ...

2023

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

Lijing Xin, Daniel Wenz, Mark Stephan Widmaier, Songi Lim

A new and efficient magnetisation transfer P-31 magnetic resonance fingerprinting (MT-P-31-MRF) approach is introduced to measure the creatine kinase metabolic rate kCK

{k}_{\mathrm{CK}}

between phosphocreatine (PCr) and adenosine triphosphate (ATP) i ...

WILEY2023

Time complexity

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Scalable angular spectrum propagation

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution

Neural ADMIXTURE for rapid genomic clustering

Learning ground states of gapped quantum Hamiltonians with Kernel Methods

Structural impact of the start-up sequence on Pelton turbines lifetime: Analytical prediction and polynomial optimization

Design and manufacture of edible microfluidic logic gates

Universal and adaptive methods for robust stochastic optimization

Directional sensitivity of cortical neurons towards TMS induced electric fields

Parametric Reduced Order Model of a Gas Bearings Supported Rotor

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

Structural impact of the start-up sequence on Pelton turbines lifetime: Analytical prediction and polynomial optimization

Universal and adaptive methods for robust stochastic optimization

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution

Scalable angular spectrum propagation

Neural ADMIXTURE for rapid genomic clustering

Directional sensitivity of cortical neurons towards TMS induced electric fields

Learning ground states of gapped quantum Hamiltonians with Kernel Methods

Design and manufacture of edible microfluidic logic gates

Parametric Reduced Order Model of a Gas Bearings Supported Rotor

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting