The dynamics of motor learning through the formation of internal models

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In this thesis we explore the applications of projective geometry, a mathematical theory of the relation between 3D scenes and their 2D images, in modern learning-based computer vision systems. This is an interesting research question which contradicts the ...

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In this thesis we study stability from several viewpoints. After covering the practical importance, the rich history and the ever-growing list of manifestations of stability, we study the following. (i) (Statistical identification of stable dynamical syste ...

The success of machine learning (ML) has been intimately linked with the availability of large amounts of data, typically collected from heterogeneous sources and processed on vast networks of computing devices (also called workers). Beyond accuracy, the u ...

Technology supporting meditation is a multimillion-dollar market that continues to grow. There is also strong academic interest to understand and improve the impact technology can have for the user experience of practitioners. However, little work investig ...

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Reinforcement feedback can improve motor learning, but the underlying brain mechanisms remain underexplored. In particular, the causal contribution of specific patterns of oscillatory activity within the human striatum is unknown. To address this question, ...

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Motor skill learning is a crucial process at all ages. However, healthy aging is often accompanied by a reduction in motor learning capabilities. This study characterized the brain dynamics of healthy older adults during motor skill acquisition and identif ...

Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

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Finding optimal bidding strategies for generation units in electricity markets would result in higher profit. However, it is a challenging problem due to the system uncertainty which is due to the lack of knowledge of the strategies of other generation uni ...

In droplet microfluidic devices with suction-based flow control, the microchannel geometry and suction pressure at the outlet govern the dynamic properties of the two phases that influence the droplet generation. Therefore, it is critical to understand the ...

The dynamics of motor learning through the formation of internal models

Chattez avec Graph Search

Incorporating Projective Geometry into Deep Learning

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Work in progress: Imagining / Designing informal spaces for learning

Stability: a search for structure

Brief Announcement: A Case for Byzantine Machine Learning

Adapting Haptic Feedback for Guided Meditation

Topics in statistical physics of high-dimensional machine learning

Prompting Large Language Models to Power Educational Chatbots

Nissl_5, Raw images for Machine learning for histological annotation and quantification of cortical layers

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

The iReCheck project: using tablets and robots for personalised handwriting practice

How to Support Students to Cultivate Psychological Safety in their Teams

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Koopman-based Data-driven Robust Control of Nonlinear Systems Using Integral Quadratic Constraints

Early motor skill acquisition in healthy older adults: brain correlates of the learning process

Identifying important sensory feedback for learning locomotion skills

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Modified capillary number to standardize droplet generation in suction-driven microfluidics