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Overview
Generative modeling has seen a huge explosion in the last decade, and it is currently a hot topic in Statistics and Machine Learning. The current state-of-the-art is dominated by diffusion-based generative models; however, these are expensive to train and incur a high cost in generating new data.
Key Facts
These models fell out of fashion when diffusion models were developed for generative modeling, but recent works are reviving interest in them and point to the opportunities offered by their formulation. This Statistical Methods for Generative Modeling (Internship) project from King Abdullah University of Science and Technology (KAUST) aims at investigating recent trends in GANs and NFs on Bayesian model selection and multimodality.
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Visit programme websiteProgramme Structure
- A short review of the literature on GANs and NFs for generative modeling, with emphasis on model selection (architecture search) and multimodality (e.g., text to image generation)
- An experimental validation of ideas aimed at improving the current state-of-the-art in GANs and NFs using appropriate validation metrics
- The drafting of a scientific report containing the proposed methods, experiments, and their analysis.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- Application deadline: All year around
Language
English
PTE Academic 62
IELTS 6.5
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- 98 accuracy using real exam data
- 4.9/5 student rating
Delivered
On Campus
Campus Location
- Thuwal, Saudi Arabia
Disciplines
Statistics Machine Learning View 16 other Short Courses in Machine Learning in Saudi ArabiaExplore more key information
Visit programme websiteWhat students do after studying
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Academic requirements
GPA 3.5
English requirements
PTE Academic 62
IELTS 6.5
Prepare for Your English Test
Cathoven AI IELTS Preparation AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Undergraduate students in 3rd year or above and master’s students.
- Minimum GPA: 3.5/4
- Curriculum Vitae (CV)
- Statement of purpose
- Contact details of 3 referees
- Official English language test score
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at King Abdullah University of Science and Technology (KAUST) and/or in Saudi Arabia, please visit Student Insurance Portal.
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Visit programme websiteTuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree -
Domestic Applies to you
Applies to youCitizens or residentsFree
Additional Details
- This is a fully-funded internship; it includes tuition, airfare, housing, medical insurance, visa reimbursement and a monthly stipend of $1,000.
Living costs
Thuwal
Saudi Arabia
2270 - 3445 SAR / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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