... | ... | @@ -28,14 +28,14 @@ For each Journal Club, a team member selects one of the top papers from the [rea |
|
|
The Orga Team is by no means a closed circle, new members are welcome at any time.
|
|
|
|
|
|
### The Orga Team and responsibilities
|
|
|
* Feb 21, 2022: Susanne Wenzel (INM-1, Big Data Analytics Group)
|
|
|
* Mar 21, 2022: __Clara Betancourt__, Karim Mache, Bing Gong, Scarlet Stadtler (JSC, Earth System Data Exploration Group (ESDE) )
|
|
|
* Mar 21, 2022: Clara Betancourt, Karim Mache, Bing Gong, Scarlet Stadtler (JSC, Earth System Data Exploration Group (ESDE) )
|
|
|
* Apr 18, 2022: Tobias Tesch (IBG-3, Agrosphere)
|
|
|
* May 16, 2022: Jenia Jitsev (JSC, Cross Sectional Team Deep Learning (CST-DL))
|
|
|
* Jun 20, 2022: Stefan Kesselheim (JSC, Helmholtz AI Consultant Team)
|
|
|
* Summer Break to be decided
|
|
|
* Hanno Scharr (Data Analytics and Machine Learning, IAS-8)
|
|
|
* Emre Neftci (PGI-15, Neuromorphic Software Ecosystems)
|
|
|
* Susanne Wenzel (INM-1, Big Data Analytics Group)
|
|
|
|
|
|
### How to select papers
|
|
|
tbd
|
... | ... | @@ -48,26 +48,23 @@ tbd |
|
|
Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7)
|
|
|
|
|
|
* **From local explanations to global understanding with explainable AI for trees** <br>
|
|
|
Lundberg et al. (2020), Nature Machine Intelligence, volume 2, pages56–67 (2020)
|
|
|
Lundberg et al. (2020), Nature Machine Intelligence, volume 2, pages56–67 (2020)<br>
|
|
|
[[link](https://doi.org/10.1038/s42256-019-0138-9)]
|
|
|
* Intro: Scarlet Stadtler
|
|
|
* Moderation Bing Gong
|
|
|
|
|
|
|
|
|
|
|
|
## Past Meetings
|
|
|
|
|
|
### 21 February 2022
|
|
|
|
|
|
Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7)
|
|
|
|
|
|
* **What's Hidden in a Randomly Weighted Neural Network?** (CVPR, 2020)<br>
|
|
|
Ramanujan, V., Wortsman, M., Kembhavi, A., Farhadi, A., & Rastegari, M.
|
|
|
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2020).<br>
|
|
|
[[link](https://openaccess.thecvf.com/content_CVPR_2020/papers/Ramanujan_Whats_Hidden_in_a_Randomly_Weighted_Neural_Network_CVPR_2020_paper.pdf)] [[paper with appendix](https://arxiv.org/pdf/1911.13299.pdf)]
|
|
|
* Intro: Roshni Kamath
|
|
|
|
|
|
## Past Meetings
|
|
|
|
|
|
### 17 January 2022
|
|
|
|
|
|
* **Deep DeclarativeNetworks**<br>
|
... | ... | @@ -401,4 +398,4 @@ A training schedule using filter pruning and orthogonal reinitialization |
|
|
|
|
|
|
|
|
---
|
|
|
last change: 10.2.2022 sw |
|
|
\ No newline at end of file |
|
|
last change: 10.3.2022 sw |
|
|
\ No newline at end of file |