Publications related to Channel capacity

Relative stability toward diffeomorphisms indicates performance in deep nets

Matthieu Wyart, Mario Geiger, Leonardo Petrini, Alessandro Favero

Understanding why deep nets can classify data in large dimensions remains a challenge. It has been proposed that they do so by becoming stable to diffeomorphisms, yet existing empirical measurements support that it is often not the case. We revisit this qu ...

2021

Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning

Sandro Carrara, Mandresy Ivan Ny Hanitra, Danilo Demarchi, Simone Aiassa

Continuous monitoring of anaesthetics infusion is demanded by anaesthesiologists to help in defining personalized dose, hence reducing risks and side effects. We propose the first piece of technology tailored explicitly to close the loop between anaesthesi ...

2021

State selective cooling of SU(N) Fermi gases

Frédéric Mila, Miklos Lajko

We investigate a species selective cooling process of a trapped SU(N) Fermi gas using entropy redistribution during adiabatic loading of an optical lattice. Using high-temperature expansion of the Hubbard model, we show that when a subset N-A < N of the si ...

AMER PHYSICAL SOC2021

Technologizing Democracy or Democratizing Technology? A Layered-Architecture Perspective on Potentials and Challenges

Bryan Alexander Ford

While technology is often claimed to be “democratizing”, the technologizing of society has more often yielded undemocratic or even anti-democratic outcomes. Is technology fundamentally at odds with democracy, or is it merely a rich and infinitely-adaptable ...

University of Chicago Press2021

Validating model-based data interpretation methods for quantification of reserve capacity

Ian Smith, Sai Ganesh Sarvotham Pai

Optimal performance of civil infrastructure is an important aspect of liveable cities. A judicious combination of physics-based models with monitoring data in a validated methodology that accounts for uncertainties is explored in this paper. This methodolo ...

2021

Product of experts for robot learning from demonstration

Emmanuel Pignat

Adaptability and ease of programming are key features necessary for a wider spread of robotics in factories and everyday assistance. Learning from demonstration (LfD) is an approach to address this problem. It aims to develop algorithms and interfaces such ...

EPFL2021

Robust Generalization via f−Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

Given two probability measures P and Q and an event E, we provide bounds on P(E) in terms of Q(E) and f-divergences. In particular, the bounds are instantiated when the measures considered are a joint distribution and the corresponding product of marginals ...

IEEE2020

Robust Generalization via $\alpha$-Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi

\alpha

-Divergences and Sibson’s

\alpha

-Mutual Information, a generalization of respectively the Kullback-Leibler Divergence and Shannon’s Mutual ...

ETHZ2020

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain

Kerstin Preuschoff, Leyla Loued-Khenissi

Uncertainty presents a problem for both human and machine decision-making. While utility maximization has traditionally been viewed as the motive force behind choice behavior, it has been theorized that uncertainty minimization may supersede reward motivat ...

2020

Restoration of sensory information via bionic hands

Silvestro Micera

This Review discusses non-invasive and invasive technologies for conveying artificial sensory feedback through bionic hands. Individuals who have lost the use of their hands because of amputation or spinal cord injury can use prosthetic hands to restore th ...

NATURE RESEARCH2020

Channel capacity

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Relative stability toward diffeomorphisms indicates performance in deep nets

Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning

State selective cooling of SU(N) Fermi gases

Technologizing Democracy or Democratizing Technology? A Layered-Architecture Perspective on Potentials and Challenges

Validating model-based data interpretation methods for quantification of reserve capacity

Product of experts for robot learning from demonstration

Robust Generalization via f−Mutual Information

Robust Generalization via $\alpha$-Mutual Information

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain

Restoration of sensory information via bionic hands

Product of experts for robot learning from demonstration

Robust Generalization via f−Mutual Information

Relative stability toward diffeomorphisms indicates performance in deep nets

Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning

State selective cooling of SU(N) Fermi gases

Restoration of sensory information via bionic hands

Validating model-based data interpretation methods for quantification of reserve capacity

Technologizing Democracy or Democratizing Technology? A Layered-Architecture Perspective on Potentials and Challenges

Robust Generalization via $\alpha$-Mutual Information

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain