Search for steady point-like sources in the astrophysical muon neutrino flux with 8 years of IceCube data [PDF]
European Physical Journal C: Particles and Fields, 2019 The IceCube Collaboration has observed a high-energy astrophysical neutrino flux and recently found evidence for neutrino emission from the blazar TXS 0506$$+$$ + 056. These results open a new window into the high-energy universe.
IceCube Collaboration +327 more
doaj +2 more sources
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points [PDF]
International Conference on Machine Learning, 2023 This paper studies the role of over-parametrization in solving non-convex optimization problems. The focus is on the important class of low-rank matrix sensing, where we propose an infinite hierarchy of non-convex problems via the lifting technique and ...
Ziye Ma +3 more
semanticscholar +1 more source
Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators [PDF]
European Control Conference, 2023 This paper characterizes a new parametrization of nonlinear networked incrementally $L_{2}$ -bounded operators in discrete time. The distinctive novelty is that our parametrization is free - that is, a sparse large-scale operator with bounded incremental
L. Massai +3 more
semanticscholar +1 more source
Multimessenger search for electrophilic feebly interacting particles from supernovae [PDF]
Physical Review D, 2023 We study MeV-scale electrophilic feebly interacting particles (FIPs), that may be abundantly produced in supernova explosions, escape the star and decay into electrons and positrons.
P. D. Luque, S. Balaji, Pierluca Carenza
semanticscholar +1 more source
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning [PDF]
Interspeech, 2022 Contrastive learning enables learning useful audio and speech representations without ground-truth labels by maximizing the similarity between latent representations of similar signal segments.
Salah Zaiem, Titouan Parcollet, S. Essid
semanticscholar +1 more source
Communications Biology, 2022 Epithelial–mesenchymal Transition (EMT) is a multi-step process that involves cytoskeletal rearrangement. Here, developing and using an image quantification tool, Statistical Parametrization of Cell Cytoskeleton (SPOCC), we have identified an ...
Arkaprabha Basu +6 more
semanticscholar +1 more source
On the Search for Feedback in Reinforcement Learning [PDF]
IEEE Conference on Decision and Control, 2020 The problem of Reinforcement Learning (RL) in an unknown nonlinear dynamical system is equivalent to the search for an optimal feedback law utilizing the simulations/ rollouts of the unknown dynamical system.
Ran Wang +4 more
semanticscholar +1 more source
AutoML Approach to Stock Keeping Units Segmentation
Journal of Theoretical and Applied Electronic Commerce Research, 2022 A typical retailer carries 10,000 stock-keeping units (SKUs). However, these numbers may exceed hundreds of millions for giants such as Walmart and Amazon.
Ilya Jackson
doaj +1 more source
Insights Into Efficient k-Nearest Neighbor Classification With Convolutional Neural Codes
IEEE Access, 2020 The increasing consideration of Convolutional Neural Networks (CNN) has not prevented the use of the k-Nearest Neighbor (kNN) method. In fact, a hybrid CNN-kNN approach is an interesting option in which the network specializes in feature extraction ...
Antonio-Javier Gallego +2 more
doaj +1 more source
Architecture Students' Search Behavior in Parametric Design
eCAADe proceedings, 2022 Over the last decade, architecture has witnessed a growing popularity for new computational tools such as parametric design environments (PDEs). Given their rapid evolution and development, expertise tends to become increasingly transient, and architects find themselves in a situation where they must constantly re-learn their tools.
Dissaux, Thomas, Jancart, Sylvie
openaire +2 more sources