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Emmanuel Abbé

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Related publications (43)

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Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron

Emmanuel Abbé

YY We consider the symmetric binary perceptron model, a simple model of neural networks that has gathered significant attention in the statistical physics, information theory and probability theory communities, with recent connections made to the performan ...

IEEE COMPUTER SOC2022

ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?

Emmanuel Abbé, Thabodhan Mahendiran

Chat Generative Pre-trained Transformer (ChatGPT) is currently a trending topic worldwide triggering extensive debate about its predictive power, its potential uses, and its wider implications. Recent publications have demonstrated that ChatGPT can correct ...

Oxford Univ Press2023

Recursive Projection-Aggregation Decoding of Reed-Muller Codes

Emmanuel Abbé, Min Ye

We propose a new class of efficient decoding algorithms for Reed-Muller (RM) codes over binary-input memoryless channels. The algorithms are based on projecting the code on its cosets, recursively decoding the projected codes (which are lower-order RM code ...

Institute of Electrical and Electronics Engineers2020

Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Haemodynamics? An in silico Study

Annalisa Buffa, Simone Deparis, Emmanuel Abbé, Ortal Yona Senouf, Riccardo Tenderini

The goal of this work is to investigate the ability of transfer learning (TL) and multitask learning (MTL) algorithms to predict tasks related to myocardial infarction (MI) in a small-data regime, leveraging a larger dataset of haemodynamic targets. The da ...

Springer Nature2023

Polarization in Attraction-Repulsion Models

Emmanuel Abbé

This paper introduces a model for opinion dynamics, where at each time step, randomly selected agents see their opinions - modeled as scalars in [0, 1] - evolve depending on a local interaction function. In the classical Bounded Confidence Model, agents op ...

IEEE2020

Proof of the Outage Probability Conjecture for MISO Channels

Emre Telatar, Emmanuel Abbé

It is conjectured that the covariance matrices minimizing the outage probability under a power constraint for multiple-input multiple-output channels with Gaussian fading are diagonal with either zeros or constant values on the diagonal. In the multiple-in ...

Institute of Electrical and Electronics Engineers2013

Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography

Benjamin Thierry Daniel Faltin, Emmanuel Abbé

Purpose: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based on bot ...

2024

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

Omar Raita, Pascal Frossard, Emmanuel Abbé, Ntorina Thanou, Ortal Yona Senouf, Thabodhan Mahendiran

BackgroundAngiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).AIMSWe compared the ability of humans, angiographic parameters and deep learning (DL ...

BMJ PUBLISHING GROUP2023

An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn

Emmanuel Abbé, Jan Hazla, Elisabetta Cornacchia

This paper introduces the notion of "Initial Alignment" (INAL) between a neural network at initialization and a target function. It is proved that if a network and a Boolean target function do not have a noticeable INAL, then noisy gradient descent on a fu ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2022

System and method for decoding reed-muller codes

Emmanuel Abbé, Min Ye

Various embodiments are directed to Reed-Muller decoding systems and methods based on recursive projections and aggregations of cosets decoding, exploiting the self-similarity of RM codes, and extended with list-decoding procedures and with outer-code conc ...

2020

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Emmanuel Abbé

Evans et al. [1] proved the subadditivity of the mutual information in the broadcasting on tree model with binary vertex labels and symmetric edge channels. They raised the question of whether such subadditivity extends to loopy graphs in some appropriate ...

IEEE2019

Normalization and correlation of cross-nested logit models

Michel Bierlaire, Emmanuel Abbé

We address two fundamental issues associated with the use of cross-nested logit models. On the one hand, we justify the adequate normalization of the model proposed by Wen and Koppelman (2001). On the other hand, we provide an analysis of the correlation s ...

2007

Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels

Emmanuel Abbé

We study the relative power of learning with gradient descent on differentiable models, such as neural networks, versus using the corresponding tangent kernels. We show that under certain conditions, gradient descent achieves small error only if a related ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2021

A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis

Emmanuel Abbé, Xiaowu Sun

BACKGROUND: Multidisciplinary Heart Teams (HTs) play a central role in the management of valvular heart diseases. However, the comprehensive evaluation of patients' data can be hindered by logistical challenges, which in turn may affect the care they recei ...

EUROPA EDITION2024

Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-making

Emmanuel Abbé, Ntorina Thanou, Mehdi Ali Gadiri

Europa Edition2023

Boosted decoders for reed-muller codes

Emmanuel Abbé, Colin Peter Sandon

Various embodiments are directed to Reed-Muller decoding systems and methods configured to decode RM codes by processing each received noisy codeword f of the received RM encoded data to determine therefrom a respective decoding that best fits the noisy co ...

2025

ChatGPT takes on the european exam in core cardiology: an AI success story

Emmanuel Abbé

Oxford Univ Press2023

Reed-Muller codes polarize

Emmanuel Abbé, Min Ye

Reed-Muller (RM) codes were introduced in 1954 and have long been conjectured to achieve Shannon's capacity on symmetric channels. The activity on this conjecture has recently been revived with the emergence of polar codes. RM codes and polar codes are gen ...

IEEE COMPUTER SOC2019

AngioPy segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation

Emmanuel Abbé, Ntorina Thanou, Edward Carlo Giorgio Andò, Ortal Yona Senouf, Thabodhan Mahendiran

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional c ...

Elsevier BV2024

Anatomy-informed multimodal learning for myocardial infarction prediction

Ivan-Daniel Sievering, Pascal Frossard, Emmanuel Abbé, Ntorina Thanou, Ortal Yona Senouf, Thabodhan Mahendiran

2022