Dictionary Learning Based on Sparse Distribution Tomography

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Modern neuroscience research is generating increasingly large datasets, from recording thousands of neurons over long timescales to behavioral recordings of animals spanning weeks, months, or even years. Despite a great variety in recording setups and expe ...

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This article reports on the current state of the OBI DICT project, a bilingual e-dictionary of oracle-bone inscriptions (OBI), incorporating artificial intelligence (AI) image recognition technology. It first provides a brief overview of the development of ...

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Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data -driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing chatter detection approaches are base ...

This dataset originates from the DCML corpus initiative and contains musicological research data. For more information, please refer to its documentation page https://dcmlab.github.io/debussy_piano Please cite this dataset as Laneve, S., Schaerf ...

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Dictionary Learning Based on Sparse Distribution Tomography

Chattez avec Graph Search

Robust machine learning for neuroscientific inference

Discrete choice modeling in the era of big data

Unlabeled Principal Component Analysis and Matrix Completion

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

Towards learning-based denoising of light fields

Interpretable Representation Learning and Evaluation for Abstractive Summarization

Equivariant Neural Architectures for Representing and Generating Graphs

Scalable and Privacy-Preserving Federated Principal Component Analysis

Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process

The Claude Debussy Solo Piano Corpus

The diachronic development of Debussy’s musical style: a corpus study with Discrete Fourier Transform

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

Text Representation Learning for Low Cost Natural Language Understanding

Self-Supervised Learning for Patient Stratification and Survival Analysis in Computational Pathology: An Application to Colorectal Cancer

The inductive bias of deep learning: Connecting weights and functions