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members:sheny [2018/10/09 14:23] Yuesong Shen Add research interests |
members:sheny [2024/04/17 15:27] (current) Yuesong Shen |
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| - | {{page>includes:member}} | + | <member> |
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| + | </member> | ||
| + | ** | ||
| + | Personal homepage:** [[https:// | ||
| ==== Research Interests ==== | ==== Research Interests ==== | ||
| - | Graphical models, | + | (Bayesian) deep learning, uncertainty estimation, probabilistic graphical models, machine learning, and how to apply them in computer vision. |
| + | |||
| + | /* | ||
| + | ==== Master thesis / IDP / Guided research ... ==== | ||
| + | Are you looking for a cool master thesis / IDP / guided research / bachlor thesis? Are you interested in machine learning / deep learning beyond stacking layers and tuning hyperparameters? | ||
| + | |||
| + | I am offering ML/DL projects related to **Uncertainy estimation (Bayesian deep learning), new network designs, probabilistic graphical models, and more!** | ||
| + | |||
| + | If you fulfill the following minimum requirements: | ||
| + | * Solid background in machine learning / deep learning (e.g. reasonably good grades for ML/DL courses); | ||
| + | * Practical Python programing skill and familiarity with '' | ||
| + | * Reasonable math background (the math involved in ML lecture should not be hard for you); | ||
| + | |||
| + | and hopefully meet some of the following additional strong points: | ||
| + | * Practical ML/DL project experiences (research internships, | ||
| + | * Strong math background (proba/ | ||
| + | * Good academic performance (e.g., fellow best.in.tum members); | ||
| + | * Other relevant strong points that make you stand out; | ||
| + | |||
| + | feel free to apply via the [[: | ||
| + | |||
| + | (Due to the potential high demand, unfortunately I won't be able to reply to all emails. If you do not hear from me 2 weeks after your contact, you should assume that unfortunately I do not have any project at hand that suits your expertise.) | ||
| + | */ | ||
| + | |||
| + | ==== Teaching ==== | ||
| + | |||
| + | === Summer Term 2022 === | ||
| + | * [[teaching: | ||
| + | === Winter Term 2021/2022 === | ||
| + | * [[teaching: | ||
| + | === Summer Term 2021 === | ||
| + | * [[teaching: | ||
| + | === Winter Term 2020/2021 === | ||
| + | * [[teaching: | ||
| + | === Summer Term 2020 === | ||
| + | * [[teaching: | ||
| + | === Winter Term 2019/2020 === | ||
| + | * [[teaching: | ||
| + | === Summer Term 2019 === | ||
| + | * [[teaching: | ||
| + | === Winter Term 2018/2019 === | ||
| + | * [[teaching: | ||
| + | |||
| + | |||
| + | < | ||
| + | < | ||
| + | < | ||
| + | </ | ||
