Publications related to Self-Aware Wearable Systems in Epileptic Seizure Detection

Reliable data-driven decision-making through optimal transport

Decision-making permeates every aspect of human and societal development, from individuals' daily choices to the complex decisions made by communities and institutions. Central to effective decision-making is the discipline of optimization, which seeks the ...

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EPFL2024

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Wiley2024

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Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

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In the past few years, Machine Learning (ML) techniques have ushered in a paradigm shift, allowing the harnessing of ever more abundant sources of data to automate complex tasks. The technical workhorse behind these important breakthroughs arguably lies in ...

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Operators from various industries have been pushing the adoption of wireless sensing nodes for industrial monitoring, and such efforts have produced sizeable condition monitoring datasets that can be used to build diagnosis algorithms capable of warning ma ...

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Efficient Continual Finite-Sum Minimization

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Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

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2024

Self-Aware Wearable Systems in Epileptic Seizure Detection

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Reliable data-driven decision-making through optimal transport

Robust machine learning for neuroscientific inference

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Graph generative deep learning models with an application to circuit topologies

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Topics in statistical physics of high-dimensional machine learning

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Efficient Continual Finite-Sum Minimization

Robust machine learning for neuroscientific inference

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Graph generative deep learning models with an application to circuit topologies

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Efficient Continual Finite-Sum Minimization

Reliable data-driven decision-making through optimal transport

Topics in statistical physics of high-dimensional machine learning

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis