How will artificial intelligence improve cardiovascular prevention? Comment l’intelligence artificielle peut-elle améliorer la prévention cardiovasculaire ?

A. A. Mircea; E. Abbé; A. Mackowiak; B. Gencer; D. Locca et al. 

AI-Driven multi-view learning from CCTA for myocardial infarction diagnosis

J. Gwizdała; A. Salihu; O. Senouf; D. Meier; D. C. Rotzinger et al. 

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography

C. Challier; X. Sun; T. Mahendiran; O. Y. Senouf; B. De Bruyne et al. 

Reed-Muller Codes for Quantum Pauli and Multiple Access Channels

D. Abdelhadi; C. Sandon; E. Abbe; R. Urbanke 

Boosted decoders for reed-muller codes

E. Abbe; C. Sandon 

Informed machine learning models for advancing cardiac disease prognosis

Learning to Reason with Neural Networks: Principles and Methods

angioPy: an open-source, deep learning-driven tool for coronary artery segmentation

T. Mahendiran; D. Thanou; O. Y. Senouf; Y. Jamaa; S. Fournier et al. 

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

A. Salihu; A. Cagnina; D. Meier; I. Skalidis; W. Luangphiphat et al. 

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

T. Mahendiran; D. Thanou; O. Y. Senouf; Y. Jamaa; S. Fournier et al. 

Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective

X. Sun; T. Belmpas; O. Y. Senouf; E. Abbé; P. Frossard et al. 

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

A. Salihu; D. Meier; N. Noirclerc; I. Skalidis; S. Mauler-Wittwer et al. 

Transformation-invariant Learning and Theoretical Guarantees for Ood Generalization

O. Montasser; H. Shao; E. Abbe 

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

A. Cagnina; A. Salihu; D. Meier; W. Luangphiphat; B. Faltin et al. 

Gender Bias in AI’s Perception of Cardiovascular Risk

M. Achtari; A. Salihu; O. Muller; E. Abbé; C. Clair et al. 

How Far Can Transformers Reason? the Globality Barrier and Inductive Scratchpad

E. Abbe; S. Bengio; A. Lotfi; C. Sandon; O. Saremi 

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction

I. D. Sievering; O. Senouf; T. Mahendiran; D. Nanchen; S. Fournier et al. 

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

A. Salihu; M. A. Gadiri; I. Skalidis; D. Meier; D. Auberson et al. 

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

I. Skalidis; A. Cagnina; O. Luangphiphat; O. Muller; E. Abbe et al. 

Polynomial-time universality and limitations of deep learning

E. Abbe; C. Sandon 

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

I. Skalidis; A. Cagnina; W. Luangphiphat; T. Mahendiran; O. Muller et al. 

Learning Sparse Graphons And The Generalized Kesten-Stigum Threshold

E. Abbe; S. Li; A. Sly 

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

A proof that Reed-Muller codes achieve Shannon capacity on symmetric channels

E. Abbe; C. P. Sandon 

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

R. Tenderini; F. Betti; O. Y. Senouf; O. Muller; S. Deparis et al. 

Reed-Muller Codes

E. Abbe; O. Sberlo; A. Shpilka; M. Ye 

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

T. Mahendiran; D. Thanou; O. Senouf; D. Meier; N. Dayer et al. 

Attention-based learning of views fusion applied to myocardial infarction diagnosis from x-ray CT

J. J. Gwizdala; O. Y. Senouf; D. Auberson; D. Meier; D. Rotzinger et al. 

Anatomy-informed multimodal learning for myocardial infarction prediction

I-D. Sievering; O. Y. Senouf; T. Mahendiran; D. Nanchen; S. Fournier et al. 

AN l(p) THEORY OF PCA AND SPECTRAL CLUSTERING

E. Abbe; J. Fan; K. Wang 

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

E. Abbe; S. Li; A. Sly 

Binary Perceptron: Efficient Algorithms Can Find Solutions in a RareWell-Connected Cluster

E. Abbe; S. Li; A. Sly 

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

E. Abbe; E. Cornacchia; J. Hazla; C. Marquis 

Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors

E. Abbe; J. Hazla; I. Nachum 

Reed-Muller Codes: Theory and Algorithms

E. Abbe; A. Shpilka; M. Ye 

Predicting future myocardial infarction from angiographies with deep learning

D. Thanou; O. Y. Senouf; O. Raita; E. Abbé; P. Frossard et al. 

Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels

E. Malach; P. Kamath; E. Abbe; N. Srebro 

Reed-Muller Codes Polarize

E. Abbe; M. Ye 

Recursive Projection-Aggregation Decoding of Reed-Muller Codes

M. Ye; E. Abbe 

System and method for decoding reed-muller codes

M. Ye; E. Abbe 

Polarization in Attraction-Repulsion Models

E. Comacchia; N. Singer; E. Abbe 

Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks

A. R. Asadi; E. Abbe 

Graph Powering and Spectral Robustness

E. Abbe; E. Boix-Adsera; P. Ralli; C. Sandon 

Entropic Matroids and Their Representation

E. Abbe; S. Spirkl 

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

E. Abbe; E. B. Adsera 

Reed-Muller codes polarize

E. Abbe; M. Ye 

Chaining Mutual Information and Tightening Generalization Bounds

A. R. Asadi; E. Abbe; S. Verdu 

A New Entropy Power Inequality for Integer-Valued Random Variables

S. Haghighatshoar; E. Abbe; I. E. Telatar 

Proof of the Outage Probability Conjecture for MISO Channels

E. Abbe; S-L. Huang; E. Telatar 

Adaptive sensing using deterministic partial Hadamard matrices

S. Haghighatshoar; E. Abbé; E. Telatar 

Polar Codes for the m-User MAC

E. Abbe; E. Telatar 

Polar Codes for the m-User Multiple Access Channel

E. Abbe; E. Telatar 

A coordinate system for Gaussian Networks

E. Abbe; Z. Lizhong 

On the concentration of the number of solutions of random satisfiability formulas

E. Abbe; A. Montanari 

Polar coding schemes for the AWGN channel

E. Abbe; A. Barron 

Polarization and randomness extraction

E. Abbe 

Universal a posteriori metrics game

E. Abbe; R. Pulikkoonattu 

Universal Source Polarization and Spare Recovery

E. Abbe 

Polar codes for the m-user multiple access channel and matroids

E. Abbe; E. Telatar 

Coding along Hermite polynomials for interference channels

E. Abbe; L. Zheng