Sign Up to like & get
recommendations!
0
Published in 2020 at "Journal of Statistical Physics"
DOI: 10.1007/s10955-020-02495-2
Abstract: In this paper we study the properties of the quenched pressure of a multi-layer spin-glass model (a deep Boltzmann Machine in artificial intelligence jargon) whose pairwise interactions are allowed between spins lying in adjacent layers…
read more here.
Keywords:
annealing replica;
layer;
replica symmetry;
quenched pressure ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.096
Abstract: Abstract When diagnosed at an advanced stage, most cancer patients suffer from treatment failure, recurrences and low survival. Taking advantage of high-throughput sequencing and deep learning techniques, we developed an early cancer monitoring method based…
read more here.
Keywords:
modal deep;
somatic mutations;
multi modal;
based multi ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "Progress of Theoretical and Experimental Physics"
DOI: 10.1093/ptep/ptad061
Abstract: Understanding how deep learning architectures work is a central scientific problem. Recently, a correspondence between neural networks (NNs) and Euclidean quantum field theories (QFTs) has been proposed. This work investigates this correspondence in the framework…
read more here.
Keywords:
topology;
deep boltzmann;
statistical field;
field theory ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.106017
Abstract: We provide a deep Boltzmann machine (DBM) for the AdS/CFT correspondence. Under the philosophy that the bulk spacetime is a neural network, we give a dictionary between those, and obtain a restricted DBM as a…
read more here.
Keywords:
boltzmann machine;
deep boltzmann;
cft correspondence;
ads cft ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2021 at "Physical review letters"
DOI: 10.1103/physrevlett.127.060601
Abstract: We develop two cutting-edge approaches to construct deep neural networks representing the purified finite-temperature states of quantum many-body systems. Both methods commonly aim to represent the Gibbs state by a highly expressive neural-network wave function,…
read more here.
Keywords:
purifying deep;
deep boltzmann;
machines thermal;
quantum ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3253821
Abstract: The Electroencephalogram (EEG) pattern of seizure activities is highly individual-dependent and requires experienced specialists to annotate seizure events. It is clinically time-consuming and error-prone to identify seizure activities by visually scanning EEG signals. Since EEG…
read more here.
Keywords:
seizure;
deep boltzmann;
feature;
boltzmann machine ... See more keywords