Results 41 to 50 of about 2,659,274 (336)

Learning Neuro-Symbolic Skills for Bilevel Planning [PDF]

open access: yesConference on Robot Learning, 2022
Decision-making is challenging in robotics environments with continuous object-centric states, continuous actions, long horizons, and sparse feedback.
Tom Silver   +4 more
semanticscholar   +1 more source

On the Spectrum and Nature of the Peculiar Type Ia Supernova 1991T [PDF]

open access: yes, 1998
A parameterized supernova synthetic-spectrum code is used to study line identifications in the photospheric-phase spectra of the peculiar Type Ia SN 1991T, and to extract some constraints on the composition structure of the ejected matter.
Baron, E.   +3 more
core   +3 more sources

Large N von Neumann Algebras and the Renormalization of Newton’s Constant [PDF]

open access: yesCommunications in Mathematical Physics, 2023
I derive a family of Ryu--Takayanagi formulae that are valid in the large $N$ limit of holographic quantum error-correcting codes, and parameterized by a choice of UV cutoff in the bulk.
Elliott Gesteau
semanticscholar   +1 more source

From Hypergraph Energy Functions to Hypergraph Neural Networks [PDF]

open access: yesInternational Conference on Machine Learning, 2023
Hypergraphs are a powerful abstraction for representing higher-order interactions between entities of interest. To exploit these relationships in making downstream predictions, a variety of hypergraph neural network architectures have recently been ...
Yuxin Wang   +4 more
semanticscholar   +1 more source

TreatJS: Higher-Order Contracts for JavaScript [PDF]

open access: yes, 2015
TreatJS is a language embedded, higher-order contract system for JavaScript which enforces contracts by run-time monitoring. Beyond providing the standard abstractions for building higher-order contracts (base, function, and object contracts), TreatJS's ...
Keil, Matthias, Thiemann, Peter
core   +2 more sources

The Securities and Exchange Commission and Accounting Principles [PDF]

open access: yes, 1965
In this thesis we address the problem of optimal code generation for irregular architectures such as Digital Signal Processors (DSPs). Code generation consists mainly of three interrelated optimization tasks: instruction selection (with resource ...
Pines, J. Arnold
core   +3 more sources

An Empirical Model of Ionospheric Total Electron Content Based on Tide‐Like Signature Modeling

open access: yesSpace Weather, 2023
Accurate modeling of the total electron content (TEC) benefits scientific research and practical application. In this study, the global ionospheric maps from the Center for Orbit Determination of Europe (CODE) covering the years 2000–2021 are utilized to
Haibing Ruan   +3 more
doaj   +1 more source

Radiation Risks in Cis-Lunar Space for a Solar Particle Event Similar to the February 1956 Event

open access: yesAerospace, 2021
Solar particle events (SPEs) can pose serious threats for future crewed missions to the Moon. Historically, there have been several extreme SPEs that could have been dangerous for astronauts, and thus analyzing their potential risk on humans is an ...
Fahad A. Zaman, Lawrence W. Townsend
doaj   +1 more source

Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators

open access: yesAdvanced Modeling and Simulation in Engineering Sciences, 2021
Although projection-based reduced-order models (ROMs) for parameterized nonlinear dynamical systems have demonstrated exciting results across a range of applications, their broad adoption has been limited by their intrusivity: implementing such a reduced-
Zhe Bai, Liqian Peng
doaj   +1 more source

Some bounds for the relative generalized Hamming weights of some evaluation codes

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2016
In this paper we find some bounds for the relative generalized Hamming weights of some codes parameterized by a set of monomials of the same degree.
Sarabia Manuel González
doaj   +1 more source

Home - About - Disclaimer - Privacy