Publications related to Learning Cost Function and Trajectory for Robotic Writing Motion

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

EPFL2024

Random matrix methods for high-dimensional machine learning models

Antoine Philippe Michel Bodin

In the rapidly evolving landscape of machine learning research, neural networks stand out with their ever-expanding number of parameters and reliance on increasingly large datasets. The financial cost and computational resources required for the training p ...

EPFL2024

Geometric Learning: Leveraging differential geometry for learning and control

Bernardo Fichera

In this thesis, we concentrate on advancing high-level behavioral control policies for robotic systems within the framework of Dynamical Systems (DS). Throughout the course of this research, a unifying thread weaving through diverse fields emerges, and tha ...

EPFL2024

Targeted worker removal reveals a lack of flexibility in brood transport specialisation with no compensatory gain in efficiency

Mahmut Selman Sakar, Laurent Keller, Fazil Emre Uslu

Division of labour is widely thought to increase the task efficiency of eusocial insects. Workers can switch their task to compensate for sudden changes in demand, providing flexible task allocation. In combination with automated tracking technology, we de ...

2024

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

Jean-Paul Richard Kneib, Emma Elizabeth Tolley, Tianyue Chen, Michele Bianco

The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

Oxford Univ Press2024

Soft robotics for farm to fork: applications in agriculture & farming

Josephine Anna Eleanor Hughes, Kai Christian Junge

Agricultural tasks and environments range from harsh field conditions with semi-structured produce or animals, through to post-processing tasks in food-processing environments. From farm to fork, the development and application of soft robotics offers a pl ...

Bristol2024

Small-scale robotic devices for medical interventions in the brain

Mahmut Selman Sakar, Lorenzo Francesco John Noseda

This article summarizes the recent advancements in the design, fabrication, and control of microrobotic devices for the diagnosis and treatment of brain disorders. With a focus on diverse actuation methods, we discuss how advancements in materials science ...

2024

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Devis Tuia, Gaston Jean Lenczner, Thiên-Anh Claris Nguyen, Marc Conrad Russwurm

Monitoring forests, in particular their response to climate and land use change, requires studying long time scales. While efficient deep learning methods have been developed to process short time series of satellite imagery, leveraging long time series of ...

Elsevier Science Inc2024

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Lakmal Buddika Meegahapola

A range of behavioral and contextual factors, including eating and drinking behavior, mood, social context, and other daily activities, can significantly impact an individual's quality of life and overall well-being. Therefore, inferring everyday life aspe ...

EPFL2024

Learning Cost Function and Trajectory for Robotic Writing Motion

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Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Random matrix methods for high-dimensional machine learning models

Geometric Learning: Leveraging differential geometry for learning and control

Targeted worker removal reveals a lack of flexibility in brood transport specialisation with no compensatory gain in efficiency

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

Soft robotics for farm to fork: applications in agriculture & farming

Small-scale robotic devices for medical interventions in the brain

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Random matrix methods for high-dimensional machine learning models

Geometric Learning: Leveraging differential geometry for learning and control

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

Small-scale robotic devices for medical interventions in the brain

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Targeted worker removal reveals a lack of flexibility in brood transport specialisation with no compensatory gain in efficiency

Soft robotics for farm to fork: applications in agriculture & farming