Publications related to Nonparametric inference of higher order interaction patterns in networks

Related publications (15)

IsoBayes: a Bayesian approach for single-isoform proteomics inference

Motivation Studying protein isoforms is an essential step in biomedical research; at present, the main approach for analyzing proteins is via bottom-up mass spectrometry proteomics, which return peptide identifications, that are indirectly used to infer th ...

Oxford University Press2025

Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition

Parsa Rahimi Noshanagh

In this study, we harness the information-theoretic Privacy Funnel (PF) model to develop a method for privacy-preserving representation learning using an end-to-end training framework. We rigorously address the trade-off between obfuscation and utility. Bo ...

IEEE2024

A Hardware-Efficient EMG Decoder with an Attractor-based Neural Network for Next-Generation Hand Prostheses

Silvestro Micera, Mahsa Shoaran, Solaiman Shokur, Vincent Alexandre Mendez, Mohammad Ali Shaeri

Advancements in neural engineering have enabled the development of Robotic Prosthetic Hands (RPHs) aimed at restoring hand functionality. Current commercial RPHs offer limited control through basic on/off commands. Recent progresses in machine learning ena ...

IEEE2024

Spectral Estimators for High-Dimensional Matrix Inference

Farzad Pourkamali

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

EPFL2024

Connecting Space Logistics and Architecture - a Pattern Language for Robust Mission Design

Anne-Marlene Rüede

The convergence of new technologies enabling the reuse of in-space transportation, on-orbit servicing, and in-situ resource mining and transformation, coupled with significant interest in ambitious missions such as robotic and crewed Lunar and Mars mission ...

EPFL2024

Aligning random graphs with a sub-tree similarity message-passing algorithm

Lenka Zdeborová, Giovanni Piccioli

The problem of aligning Erdos-Renyi random graphs is a noisy, average-case version of the graph isomorphism problem, in which a pair of correlated random graphs is observed through a random permutation of their vertices. We study a polynomial time message- ...

IOP Publishing Ltd2022

Sub‐asymptotic motivation for new conditional multivariate extreme models

Anthony Christopher Davison, Thomas Lugrin

Statistical models for extreme values are generally derived from non-degenerate probabilistic limits that can be used to approximate the distribution of events that exceed a selected high threshold. If convergence to the limit distribution is slow, then th ...

2021

Design of a Highly Biomimetic and Fully-Actuated Robotic Finger

Daniel Thalmann

During design a mechanical structure such as a robotic finger, modeling parts and designing joints are two time-consuming steps. This paper presents a method for design and fabrication of a humanoid robotic finger that intends to mimic the human finger in ...

IEEE2019

An in-depth analysis of single-image subjective quality assessment of light field contents

Touradj Ebrahimi, Irene Viola

Quality assessment of light field images poses new questions and challenges, due to the enriched nature of the content and the possibilities it offers at the rendering step. Image-based rendering is conventionally used to showcase the increased capabilitie ...

2019

Efficient Learning from Comparisons

Lucas Maystre

Humans are comparison machines: comparing and choosing an item among a set of alternatives (such as objects or concepts) is arguably one of the most natural ways for us to express our preferences and opinions. In many applications, the analysis of data con ...

EPFL2018

Uncertainty quantification in unfolding elementary particle spectra at the Large Hadron Collider

Mikael Johan Kuusela

This thesis studies statistical inference in the high energy physics unfolding problem, which is an ill-posed inverse problem arising in data analysis at the Large Hadron Collider (LHC) at CERN. Any measurement made at the LHC is smeared by the finite reso ...

EPFL2016

A comparison between two statistical and a physically-based model in snow water equivalent mapping

Michael Lehning

Snow water equivalent (SWE) estimates at the end of the winter season have been compared for the 2002–2006 period in a 200 km2 mountainous area in Switzerland, using three different models. The first model, ALPINE3D, is a physically based process-oriented ...

Elsevier2013

Modeling the constant amplitude fatigue behavior of adhesively bonded pultruded GFRP joints

Thomas Keller, Anastasios Vassilopoulos, Roohollah Sarfaraz Khabbaz

The constant amplitude fatigue behavior of adhesively bonded pultruded glass fiber reinforced polymer double-lap joints were modeled by a number of conceptually different phenomenological SN (cyclic stress vs. number of cycle) formulations. An extended dat ...

Brill Academic Publishers2013

Loss of tensile strength in cellulose tissue on the surface of spruce (Picea abies) caused by natural photodegradation and delignification

John Christopher Plummer

Photodegradation of wood leads to discolouration and delignification, inducing damage to the cellular structure. This study is an investigation of the damage and loss of tensile strength of the cellulose fibres in spruce (Picea abies). Microtensile tests i ...

Elsevier2013

What are the Odds? Probabilistic programming in Scala

Tiark Rompf, Nada Amin, Sandro Stucki, Manohar Jonnalagedda

Probabilistic programming is a powerful high-level paradigm for probabilistic modeling and inference. We present Odds, a small domain-specific language (DSL) for probabilistic programming, embedded in Scala. Odds provides first-class support for random var ...

ACM2013