Seminar: Deep generative models (IN0014, IN2107, IN4907)
Course 0000004381 in SS 2019
General Data
| Course Type | seminar |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab) |
| Lecturers |
Azade Farshad Nassir Navab Assistants: Ashkan Khakzar Magdalini Paschali Mahdi Saleh |
| Dates |
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | The recent advances of generative models in Deep Learning will be studied in the Seminar Course. Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), adversarial learning and learning with adversaries compose the main topics of the seminar. A set of papers will cover the aforementioned topics. One or two lectures will be also offered to support the seminar. |
|---|---|
| Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| WS 2020/1 | Seminar: Computational Imaging (IN0014, IN2107, IN4988) |
Lasser, T.
Assistants: Cheslerean-Boghiu, T.Page Vizcaino, J.Pekel, E.Stefanoiu, A. |
|
| SS 2020 | Seminar: Computational Imaging (IN0014, IN2107, IN4988) |
Lasser, T.
Assistants: Cheslerean-Boghiu, T.Stefanoiu, A. |
|
| WS 2019/20 | Seminar: Computational Imaging (IN0014, IN2107, IN4988) |
Lasser, T.
Assistants: Cheslerean-Boghiu, T.Stefanoiu, A. |
|
| WS 2018/9 | Seminar: Deep generative models (IN0014, IN2107, IN4907) |
Laina, I.
Tombari, F.
Responsible/Coordination: Navab, N. |
|
| SS 2018 | Seminar: Deep generative models (IN0014, IN2107, IN4907) |
Laina, I.
Paschali, M.
Tombari, F.
Responsible/Coordination: Navab, N. |
|
| WS 2017/8 | Seminar: Deep generative models (IN0014, IN2107, IN4907) |
Laina, I.
Tombari, F.
Responsible/Coordination: Navab, N. |