Publications related to Low-Rate Reduced Complexity Image Compression using Directionlets

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

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With the rise of open data, identifiability of individuals based on 3D renderings obtained from routine structural magnetic resonance imaging (MRI) scans of the head has become a growing privacy concern. To protect subject privacy, several algorithms have ...

Wiley2024

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

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Dynamical system (DS) based motion planning offers collision-free motion, with closed-loop reactivity thanks to their analytical expression. It ensures that obstacles are not penetrated by reshaping a nominal DS through matrix modulation, which is construc ...

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Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

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Springer2024

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

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Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

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Reliable data-driven decision-making through optimal transport

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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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Graph generative deep learning models with an application to circuit topologies

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Modern integrated circuits are tiny yet incredibly complex technological artifacts, composed of millions and billions of individual structures working in unison.Managing their complexity and facilitating their design drove part of the co-evolution of moder ...

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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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Inhalation of Microplastics—A Toxicological Complexity

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Humans are chronically exposed to airborne microplastics (MPs) by inhalation. Various types of polymer particles have been detected in lung samples, which could pose a threat to human health. Inhalation toxicological studies are crucial for assessing the e ...

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Low-Rate Reduced Complexity Image Compression using Directionlets

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

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

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

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

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

Quantum Protocols for ML, Physics, and Finance

Reliable data-driven decision-making through optimal transport

Graph generative deep learning models with an application to circuit topologies

Efficient Continual Finite-Sum Minimization

Inhalation of Microplastics—A Toxicological Complexity

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

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

Quantum Protocols for ML, Physics, and Finance

Inhalation of Microplastics—A Toxicological Complexity

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

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

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

Reliable data-driven decision-making through optimal transport

Efficient Continual Finite-Sum Minimization

Graph generative deep learning models with an application to circuit topologies