Publications related to Learning the rules of mitochondrial network dynamics using generative models

Related publications (11)

A Developmental Switch Controls Cell-to-cell Transport in Roots Via Pectin-linked Plasmodesmata Changes

Cell-to-cell communication is fundamental to multicellular life. In plants, plasmodesmata-cytoplasmic channels that connect adjacent cells-enable the transport of molecules between cells. In roots, such transport is thought to play a central role in nutrie ...

CELL PRESS2025

Learning by Teaching: Designing Teachable Agents to Support Children's Pronunciation Skill Learning

Pierre Dillenbourg, Chenyang Wang, Lucas Gérard Julien Burget

Pronunciation is a critical yet challenging aspect of language acquisition, especially for children. In this work, we propose a new teachable agent system designed to support children's pronunciation learning through a Learning-by-Teaching paradigm to addr ...

Association for Computing Machinery2025

High-resolution predictions of the coolant properties for the 3D PWR core with artificial neural networks based on CTF

Marianna Papadionysiou

PSI and North Carolina State University are developing a high-resolution multi-physics core solver for Pressurized Water Reactor (PWR) analysis in Cartesian geometry, using the neutron transport code nTRACER and two Machine Learning (ML) models providing t ...

2025

Drone-Based Urban Traffic Monitoring and User Behavior Prediction

Sohyeong Kim

As urban populations continue to expand and vehicle density increases, the need for effective traffic monitoring and management becomes increasingly critical. Urban areas face significant challenges such as growing congestion, safety concerns, and parking ...

EPFL2025

ER-to-lysosome-associated degradation acts as failsafe mechanism upon ERAD dysfunction

Maurizio Molinari

The endoplasmic reticulum (ER) produces proteins destined to organelles of the endocytic and secretory pathways, the plasma membrane, and the extracellular space. While native proteins are transported to their intra- or extracellular site of activity, fold ...

Springernature2024

Antimicrobial peptides do not directly contribute to aging in Drosophila, but improve lifespan by preventing dysbiosis

Bruno Lemaitre, Mark Austin Hanson

Antimicrobial peptides (AMPs) are innate immune effectors first studied for their role in host defence. Recent studies have implicated these peptides in the clearance of aberrant cells and in neurodegenerative syndromes. In Drosophila, many AMPs are produc ...

COMPANY BIOLOGISTS LTD2023

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Alexander Mathis, Mackenzie Mathis, Shaokai Ye, Jessy Lauer, Mu Zhou

The process of quantifying and analyzing animal behavior involves translating the naturally occurring descriptive language of their actions into machine-readable code. Yet, codifying behavior analysis is often challenging without deep understanding of anim ...

2023

Forward-forward training of an optical neural network

Demetri Psaltis, Christophe Moser, Niyazi Ulas Dinç, Ilker Oguz, Mustafa Yildirim, Jih-Liang Hsieh

Neural networks (NNs) have demonstrated remarkable capabilities in various tasks, but their computation-intensive nature demands faster and more energy-efficient hardware implementations. Optics-based platforms, using technologies such as silicon photonics ...

Optica Publishing Group2023

Nicotinamide riboside kinases regulate skeletal muscle fiber-type specification and are rate-limiting for metabolic adaptations during regeneration

Carlos Canto Alvarez, Jérome Feige

Nicotinamide riboside kinases (NRKs) control the conversion of dietary Nicotinamide Riboside (NR) to NAD(+), but little is known about their contribution to endogenous NAD(+) turnover and muscle plasticity during skeletal muscle growth and remodeling. Usin ...

FRONTIERS MEDIA SA2022

Selective Integrin alpha(5)beta(1) Targeting through Spatially Constrained Multivalent DNA-Based Nanoparticles

Maartje Martina Cornelia Bastings, Vincenzo Caroprese, Diana Kornelia Morzy, Eva Eugene Kurisinkal, Marianna Mainardi Koga

Targeting cells specifically based on receptor expression levels remains an area of active research to date. Selective binding of receptors cannot be achieved by increasing the individual binding strength, as this does not account for differing distributio ...

MDPI2022

Model-Agnostic Learning to Meta-Learn

Yatin Dandi, Arnout Jan J Devos

In this paper, we propose a learning algorithm that enables a model to quickly exploit commonalities among related tasks from an unseen task distribution, before quickly adapting to specific tasks from that same distribution. We investigate how learning wi ...

PMLR2021