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Università della Svizzera italiana

Learning structured neural representations for visual reasoning tasks

van Steenkiste, Sjoerd ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO019.

Deep neural networks learn representations of data to facilitate problem-solving in their respective domains. However, they struggle to acquire a structured representation based on more symbolic entities, which are commonly understood as core abstractions central to human capacity for generalization. This dissertation studies this issue for visual reasoning tasks. Inspired by how humans solve...

Haute école de gestion de Genève

A study of neural networks for natural language processing

Gülen, Lucas ; Kalousis, Alexandros (Dir.)

Mémoire de bachelor : Haute école de gestion de Genève, 2018 ; TDIG 166.

L’idée initiale de ce travail de recherche était de fournir aux professeurs, que ce soit de hautes écoles ou non, un outil qui leur permettrait de pouvoir corriger automatiquement les examens de leurs étudiants. Pour cela, le prototype aurait besoin d’une liste des questions, d’une liste des réponses justes et des copies des étudiants. Pour pouvoir mettre une idée pareille en...

Consortium of Swiss Academic Libraries

PAD: A New Interactive Knowledge-Based Analog Design Approach

Stefanovic, Danica ; Kayal, Maher ; Pastre, Marc

In: Analog Integrated Circuits and Signal Processing, 2005, vol. 42, no. 3, p. 291-299

Consortium of Swiss Academic Libraries

An area and power optimization technique for CMOS bandgap voltage references

Tajalli, Armin ; Chahardori, Mohammad ; Khodaverdi, Abbas

In: Analog Integrated Circuits and Signal Processing, 2010, vol. 62, no. 2, p. 131-140