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Kniha

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Akademický článek

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Akademický článek

Yassir Arafat

Autor: Gauhar, Altaf, Arafat, Yassir

Publikováno v: Third World Quarterly, 1986 Apr 01. 8(2), 399-410.

Externí odkaz: https://www.jstor.org/stable/3992171

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Weight decay induces low-rank attention layers

Autor: Kobayashi, Seijin, Akram, Yassir, Von Oswald, Johannes

The effect of regularizers such as weight decay when training deep neural networks is not well understood. We study the influence of weight decay as well as $L2$-regularization when training neural network models in which parameter matrices interact

Externí odkaz: http://arxiv.org/abs/2410.23819

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Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices

Autor: Nanini, Santino, Abid, Mariem, Mamouni, Yassir, Wiedemann, Arnaud, Jouvet, Philippe, Bourassa, Stephane

This paper presents the development of machine learning (ML) models to predict hypoxemia severity during emergency triage, especially in Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) events, using physiological data from medical-

Externí odkaz: http://arxiv.org/abs/2410.23503

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Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation

Autor: Stojanovic, Stefan, Jedra, Yassir, Proutiere, Alexandre

We consider the problem of learning an $\varepsilon$-optimal policy in controlled dynamical systems with low-rank latent structure. For this problem, we present LoRa-PI (Low-Rank Policy Iteration), a model-free learning algorithm alternating between

Externí odkaz: http://arxiv.org/abs/2410.23434

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SAFE setup for generative molecular design

Autor: Mesbahi, Yassir El, Noutahi, Emmanuel

SMILES-based molecular generative models have been pivotal in drug design but face challenges in fragment-constrained tasks. To address this, the Sequential Attachment-based Fragment Embedding (SAFE) representation was recently introduced as an alter

Externí odkaz: http://arxiv.org/abs/2410.20232

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PET mapping of receptor occupancy using joint direct parametric reconstruction

Autor: Marin, Thibault, Belov, Vasily, Chemli, Yanis, Ouyang, Jinsong, Najmaoui, Yassir, Fakhri, Georges El, Duvvuri, Sridhar, Iredale, Philip, Guehl, Nicolas J., Normandin, Marc D., Petibon, Yoann

Receptor occupancy (RO) studies using PET neuroimaging play a critical role in the development of drugs targeting the central nervous system (CNS). The conventional approach to estimate drug receptor occupancy consists in estimation of binding potent

Externí odkaz: http://arxiv.org/abs/2410.15230

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Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all

Autor: Bendidi, Ihab, Whitfield, Shawn, Kenyon-Dean, Kian, Yedder, Hanene Ben, Mesbahi, Yassir El, Noutahi, Emmanuel, Denton, Alisandra K.

Understanding the relationships among genes, compounds, and their interactions in living organisms remains limited due to technological constraints and the complexity of biological data. Deep learning has shown promise in exploring these relationship

Externí odkaz: http://arxiv.org/abs/2410.13956

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