Concept
Convergent series
Related publications (28)
Computational Studies for the Design of Metalloenzyme Mimics
At present, there is no general standard automated method for engineering metalloenzymes, industrially-relevant systems able to catalyze environmentally friendly reactions. One of the most studied natural metalloenzymes is the second isoform of human carbo ...
EPFL2023Over-the-Air Computation via Reconfigurable Intelligent Surface
Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition property of multiple-access channels. However, the performance of AirComp is bott ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021Convergence without Convexity: Sampling, Optimization, and Games
Many important problems in contemporary machine learning involve solving highly non- convex problems in sampling, optimization, or games. The absence of convexity poses significant challenges to convergence analysis of most training algorithms, and in some ...
EPFL2020Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI
Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton
The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art guidelines advise to scrub out excessively corrupted frames as assessed by a composite framewise ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2020Numerical methods for option pricing: polynomial approximation and high dimensionality
Options are some of the most traded financial instruments and computing their price is a central task in financial mathematics and in practice. Consequently, the development of numerical algorithms for pricing options is an active field of research. In gen ...
EPFL2019Expectation propagation in the large data limit
Guillaume Philippe Ivan Joseph Dehaene
Expectation propagation (EP) is a widely successful algorithm for variational inference. EP is an iterative algorithm used to approximate complicated distributions, typically to find a Gaussian approximation of posterior distributions. In many applications ...
Wiley2018CARTHA / The Form of Form / Issue I / How to Learn Better
Dieter Dietz, Daniel Zamarbide Elizondo
CARTHA is a curated platform that focuses on sharing different forms of critical thinking regarding architecture and society. Through opinions, experiences and works, CARTHA aims to map out the contemporary architectural landscape. How to Learn Better inau ...
2016