20 Oct 2025
Informed Prior Initialization for Bayesian Convolutional Neural Networks Through Deterministic Pre-TrainingPublisher siteActive, last published 2026
In neural networks and applications
Hassan
Ramchoun
Scholar“Research focused on Neural Networks and Applications and adjacent fields.”
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01 · About the work
What I study
assan Ramchoun is a researcher working on Neural Networks and Applications. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Hassan's work has been cited 827 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Neural Networks and Applications×11Gaussian Processes and Bayesian Inference×9Machine Learning and ELM×6Advanced Neural Network Applications×5Sparse and Compressive Sensing Techniques×4
04 · Where I am
Affiliations
Affiliation on published researchUniversité Moulay Ismail de Meknes, MoroccoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
10 works7 Oct 2025
Efficient Channel Pruning via Sparse Learning for Compact Deep Neural NetworksPublisher siteLecture notes in networks and systems, Wireless Signal Modulation Classification
11 Sept 2025
Multiobjective pruning for sparse deep neural networks: leveraging $$L_0$$ regularization on batch normalization scaling factorsPublisher siteCluster Computing, Neural Networks and Applications
21 Aug 2025
Convergence of batch gradient descent with learnable smooth masks for pruning feedforward neural networksPublisher siteNeurocomputing, Neural Networks and Applications
19 Jun 2024Open access2cites
Implicitly adaptive optimal proposal in variational inference for Bayesian learningPublisher siteInternational Journal of Data Science and Analytics, Gaussian Processes and Bayesian Inference
25 Jan 20246cites
Gaussian mixture models for training Bayesian convolutional neural networksPublisher siteEvolutionary Intelligence, Gaussian Processes and Bayesian Inference
1 Jan 2024
Self-normalized Importance Sampling for Training Gaussian Mixture Model in Bayesian Convolutional Neural NetworkPublisher siteLecture notes in networks and systems, Gaussian Processes and Bayesian Inference
22 Dec 20239cites
Sparse smooth group <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si275.svg" display="inline" id="d1e17665"><mml:mrow><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>∘</mml:mo><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> regularization method for convolutional neural networksPublisher siteKnowledge-Based Systems, Sparse and Compressive Sensing Techniques
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