Publications associées à Graphic: Graph-Based Hierarchical Clustering For Single-Molecule Localization Microscopy

Publications associées (10)

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models

Negar Kiyavash, Ehsan Mokhtarian, Saber Salehkaleybar

We study experiment design for unique identification of the causal graph of a system where the graph may contain cycles. The presence of cycles in the structure introduces major challenges for experiment design as, unlike acyclic graphs, learning the skele ...

2023

Graph Representation Learning with Optimal Transport: Analysis and Applications

Effrosyni Simou

In several machine learning settings, the data of interest are well described by graphs. Examples include data pertaining to transportation networks or social networks. Further, biological data, such as proteins or molecules, lend themselves well to graph- ...

EPFL2022

Dynamics of functional network organization through graph mixture learning

Pascal Frossard, Dimitri Nestor Alice Van De Ville, Hermina Petric Maretic, Anjali Bagunu Tarun, Ilaria Ricchi

Understanding the organizational principles of human brain activity at the systems level remains a major challenge in network neuroscience. Here, we introduce a fully data-driven approach based on graph learning to extract meaningful repeating network patt ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Online and Consistent Correlation Clustering

Andreas Maggiori

In the correlation clustering problem the input is a signed graph where the sign indicates whether each pair of points should be placed in the same cluster or not. The goal of the problem is to compute a clustering which minimizes the number of disagreemen ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2022

Covering Graphs by Monochromatic Trees and Helly-Type Results for Hypergraphs

Dániel József Korándi

How many monochromatic paths, cycles or general trees does one need to cover all vertices of a given r-edge-coloured graph G? These problems were introduced in the 1960s and were intensively studied by various researchers over the last 50 years. In this pa ...

Springer-Verlag2021

Multi-plane super-resolution microscopy

Azat Sharipov

Understanding cell functions is the major goal of molecular biology, which intends to elucidate the interactions between biomolecules at a subcellular level. One of the widely used techniques in molecular biology is fluorescence microscopy, which offers hi ...

EPFL2017

Characterizing the connectome in schizophrenia with diffusion spectrum imaging

Jean-Philippe Thiran, Patric Hagmann, Alessandra Griffa

Schizophrenia is a complex psychiatric disorder characterized by disabling symptoms and cognitive deficit. Recent neuroimaging findings suggest that large parts of the brain are affected by the disease, and that the capacity of functional integration betwe ...

Wiley-Blackwell2015

Graph-based representation and coding of multiview geometry

Pascal Frossard, Thomas Maugey

We propose a new approach for describing the geometry information of multiview image representations. Rather than transmitting the raw geometry of the scene, under the form of depth information, we build a graph that represents the connections between corr ...

2013

Structural and Functional Stochastic Super-Resolution Microscopy

Stefan Geissbühler

Super-resolution fluorescence microscopy is a promising tool with the potential to strengthen our understanding of living processes. Based on the ability to switch fluorophores on and off in an either deterministic or stochastic manner, the fundamental lim ...

EPFL2013

Search for Higgs Bosons Decaying into Long-Lived Exotic Particles in the LHCb Experiment

Neal Gauvin

The four experiments of the Large Hadron Collider (LHC) at CERN have collected their first data at √s = 7 TeV, hailing an exciting era in particle physics. The LHCb detector is a single-arm forward spectrometer, dedicated to precision measurements of CP vi ...

EPFL2011