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Publications associées (32)
The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition
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 ...
Buro Van Die Wat2024How We Use Wikipedia: Studying Readers' Behavior with Navigation Traces
In the information age, the Web and the growing global connectivity drastically simplified our access to information. Learning and fact-checking from online resources is nowadays part of our daily routine. Studying the dynamic associated with online conten ...
EPFL2022A Structured Dictionary Perspective on Implicit Neural Representations
Pascal Frossard, Guillermo Ortiz Jimenez, Gizem Yüce, Beril Besbinar
Implicit neural representations (INRs) have recently emerged as a promising alternative to classical discretized representations of signals. Nevertheless, despite their practical success, we still do not understand how INRs represent signals. We propose a ...
IEEE COMPUTER SOC2022Constrained Language Models for Interactive Poem Generation
Andrei Popescu-Belis, Gabriel Luthier, Aris Xanthos, Simon Mattei
This paper describes a system for interactive poem generation, which combines neural language models (LMs) for poem generation with explicit constraints that can be set by users on form, topic, emotion, and rhyming scheme. LMs cannot learn such constraints ...
EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA2022Characterization of Real-World Power System Signals in Non-Stationary Conditions using a Dictionary Approach
Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandra Cameron Karpilow
As power grids transition towards low-inertia net-works based on converter-interfaced renewable energy resources, they become increasingly vulnerable to extreme dynamics. Currently, the most advanced methods for signal processing in power systems are embed ...
IEEE2021Convex optimization in sums of Banach spaces
Michaël Unser, Shayan Aziznejad
We characterize the solution of a broad class of convex optimization problems that address the reconstruction of a function from a finite number of linear measurements. The underlying hypothesis is that the solution is decomposable as a finite sum of compo ...
2021Partition and Code: learning how to compress graphs
Michael Bronstein, Andreas Loukas, Nikolaos Karalias, Georgios Bouritsas
Can we use machine learning to compress graph data? The absence of ordering in graphs poses a significant challenge to conventional compression algorithms, limiting their attainable gains as well as their ability to discover relevant patterns. On the other ...
2021Learning computationally efficient static word and sentence representations
Most of the Natural Language Processing (NLP) algorithms involve use of distributed vector representations of linguistic units (primarily words and sentences) also known as embeddings in one way or another. These embeddings come in two flavours namely, sta ...
EPFL2021Dictionary Learning for Two-Dimensional Kendall Shapes
Michaël Unser, Julien René Pierre Fageot, Virginie Sophie Uhlmann, Anna You-Lai Song
We propose a novel sparse dictionary learning method for planar shapes in the sense of Kendall, namely configurations of landmarks in the plane considered up to similitudes. Our shape dictionary method provides a good trade-off between algorithmic simplici ...
SIAM PUBLICATIONS2020Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages
Subword modeling for zero-resource languages aims to learn low-level representations of speech audio without using transcriptions or other resources from the target language (such as text corpora or pronunciation dictionaries). A good representation should ...
2020