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Found 10 papers, 0 papers with code
Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization
To avoid the ill-posedness, we investigate the effect of regularizing the phase retrieval algorithm with image priors for various overlap ratios between the neighboring diffraction patterns.
Physics-informed attention-based neural network for solving non-linear partial differential equations
PINNs are based on simple architectures, and learn the behavior of complex physical systems by optimizing the network parameters to minimize the residual of the underlying PDE.
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
Probabilistic methods, such as Gaussian Processes (GP), have proven successful in modeling this setting.
Enjambment Detection in a Large Diachronic Corpus of Spanish Sonnets
Enjambment takes place when a syntactic unit is broken up across two lines of poetry, giving rise to different stylistic effects.
More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing
Entity linking and keyphrase extraction are also performed on the propositions related to each actor.
Generating Navigable Semantic Maps from Social Sciences Corpora
It is now commonplace to observe that we are facing a deluge of online information.
Phoneme Similarity Matrices to Improve Long Audio Alignment for Automatic Subtitling
Long audio alignment systems for Spanish and English are presented, within an automatic subtitling application.
