Authors: Hamid Eftekhari, Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov
arXiv
We study and predict the evolution of Covid-19 in six US states from the period May 1 through August 31 using a discrete compartment-based model and prescribe active intervention policies, like lockdo...
Authors: Hubert Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort
arXiv
Objective. Supervised learning paradigms are often limited by the amount of labeled data that is available. This phenomenon is particularly problematic in clinically-relevant data, such as electroence...
Authors: Samuel Ackerman, Parijat Dube, Eitan Farchi
arXiv
We utilize neural network embeddings to detect data drift by formulating the drift detection within an appropriate sequential decision framework. This enables control of the false alarm rate although...
Authors: Emily Toomey, Ken Segall, Matteo Castellani, Marco Colangelo, Nancy Lynch, Karl K. Berggren
arXiv
As the limits of traditional von Neumann computing come into view, the brain's ability to communicate vast quantities of information using low-power spikes has become an increasing source of inspirati...
Authors: Lennart Oelschläger, Timo Adam
arXiv
Financial markets exhibit alternating periods of rising and falling prices. Stock traders seeking to make profitable investment decisions have to account for those trends, where the goal is to accurat...
Authors: Marco Stefanucci, Stefano Mazzuco
arXiv
We study the dynamics of cause--specific mortality rates among countries by considering them as compositions of functions. We develop a novel framework for such data structure, with particular attenti...
Authors: Sarah Friedrich, Tim Friede
arXiv
The usual development cycles are too slow for the development of vaccines, diagnostics and treatments in pandemics such as the ongoing SARS-CoV-2 pandemic. Given the pressure in such a situation, ther...
Authors: Feng Zhou, Tao Chen, Baiying Lei
arXiv
Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately before irreversible co...
Authors: Juyang Weng
arXiv
Universal Turing Machines [29, 10, 18] are well known in computer science but they are about manual programming for general purposes. Although human children perform conscious learning (i.e., learning...
Authors: Wilten Nicola, Sue Ann Campbell
arXiv
The synchronization of different brain regions is widely observed under both normal and pathological conditions such as epilepsy. However, the relationship between the dynamics of these brain regions,...
Authors: Yotam Sagiv, Sebastian Musslick, Yael Niv, Jonathan D. Cohen
arXiv
A striking limitation of human cognition is our inability to execute some tasks simultaneously. Recent work suggests that such limitations can arise from a fundamental tradeoff in network architecture...
Authors: Min-Chun Wu, Vladimir Itskov
arXiv
We consider a common measurement paradigm, where an unknown subset of an affine space is measured by unknown continuous quasi-convex functions. Given the measurement data, can one determine the dimens...
Authors: Alexander T. M. Fisch, Idris A. Eckley, P. Fearnhead
arXiv
In this paper, we propose CE-BASS, a particle mixture Kalman filter which is robust to both innovative and additive outliers, and able to fully capture multi-modality in the distribution of the hidden...
Authors: Lin Ren, Alexander Oleinick, Irina Svir, Christian Amatore, Andrew Ewing
arXiv
Zinc, a suspected potentiator of learning and memory, is shown to affect exocytotic release and storage in neurotransmitter-containing vesicles. Structural and size analysis of the vesicular dense cor...
Authors: Ronal Arela-Bobadilla
arXiv
Objective: To make an estimate of the excess deaths caused by COVID-19 in the non-violent mortality of Peru, controlling for the effect of quarantine. Methods: Analysis of longitudinal data from the d...